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You will lead business development by identifying, validating, and scaling product–market fit for novel gearbox and actuation systems across robotics applications, including humanoid robots, industrial robots, cobots, exoskeletons, bionics, and UAVs. You will lead engagement with robotics OEMs, distributors, and integrators: analyzing applications and system constraints, shaping product-market fit through technical exploration and pilot definition, structuring and following up on proof-of-concept projects, developing use-case-driven value propositions, translating customer needs into clear feedback for the engineering team, and collaborating with the engineering team on product development and our go-to-market approach. This position is in the early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, close collaboration with the CEO/CTO, and wider responsibility for decisions that shape the final product. Visa: Work authorization in the EU is required. Visa sponsorship is not available for this position. Equity: The position typically does not include an equity package. However, equity can be offered to exceptional candidates or at later stages when the company grows. Work arrangement: hybrid/on-site Work location: Brussels Responsibilities Own business development for breakthrough robotics hardware: gearboxes and actuation systems. Lead engagement and build relationships with robotic OEMs (humanoid robots, industrial robots, cobots, exoskeletons, bionics, UAVs), and integrators to identify potential applications, constraints, and system requirements. Develop value propositions and positioning based on different use cases. Shape product-market fit from initial technical exploration to pilot definition and early partnerships. Travel internationally to engage directly with potential customers and ecosystem partners. Define scope, set success criteria, and evaluate performance for customer Proof of Concept trials. Assess customer technical product requirements and validate required modifications with the engineering team. Main requirements 2+ years of experience in sales, application engineering, or business development in at least one: robotic mechanical components, humanoid robots, industrial robots, cobots, exoskeletons, bionics, or automation equipment. Bachelor, Master, or PhD in at least one: robotics, electromechanics, mechatronics, mechanical engineering, or industrial automation. Willingness to frequent international travel. English fluency Other requirements Ability to operate autonomously: identify problems, propose concrete solutions, prioritize actions, execute without step-by-step instructions, and escalate appropriately. Ability to build relationships with customers/partners and to understand their value drivers. Nice to have, but not mandatory Understanding of mechanical and mechatronic systems (gearboxes, motors, actuation stacks), including their specific features, differences, and physical limits. Experience selling to robotics OEMs, system integrators, distributors, or any other automation solution providers. 2+ years of engineering experience. Experience shaping product-market-fit in an early-stage startup. Expertise in early-stage market validation and finding product–market fit. Benefits Meal vouchers (€10 day) Company car

You will join an early-stage MedTech startup building automated lines that combine advanced diagnostic tools, robotics, and data-driven software. You will play a key role in the full lifecycle development of scalable automation software and data pipelines for advanced diagnostic platforms, automated lab devices, test setups, and hardware control systems. You will be responsible for refactoring the experiment lab diagnostic protocols into a software product with a modular, production-ready architecture and UI. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, and wider responsibility for decisions that shape the final product-market fit. Visa: Work authorization in the EU is preferred. Visa sponsorship will be offered only to exceptional candidates. Equity: ESOP available, will be discussed individually Work arrangement: 3 days on-site, 2 days hybrid Work location: Ghent or Liege Responsibilities Contribute to continuously maintaining and upgrading software controlling R&D instruments, automated test setups, and automation workflows. Implement software development processes aligned with regulatory requirements (IEC 62304, ISO 13485) within a modern CI/CD framework. Design and optimize algorithms used for data processing, instrument control, and automation logic. Collaborate with researchers and engineers to translate experimental requirements into software features. Contribute to maintaining and evolving the internal databases. Write software documentation, including API documentation, architecture overviews, and configuration instructions. Participate in code reviews and implement automated unit/integration testing to meet strict ISO compliance. Main requirements Advanced Python (Concurrency, Asyncio, Multiprocessing, OOP) for hardware control: sensors, laboratory instruments, or embedded systems. Experience with mocking and simulating hardware for test-driven development. Familiarity with IEC 62304 and ISO 13485 medical device software standards (OR willingness to learn these standards and work in a regulated medical device environment - training will be provided). Other requirements Practical knowledge of SQL and relational database design. Proficiency in version control (Git) and collaborative development workflows (Jira/Github). Experience with modern CI/CD frameworks. Previous experience writing and maintaining technical documentation that meets production and regulatory standards. Nice to have, but not mandatory Previous experience developing software in a regulated environment (MedTech, Aerospace, Automotive, Fintech/Banking, or Industrial Automation). Knowledge of FastAPI or Django framework. Knowledge of containerization (Docker) for product deployment.

You will lead technology development & integration at an early-stage robotics startup dedicated to integrating humanoid robots into real-world industrial environments, such as factories, warehouses, and logistics centers. You will work with the state-of-the-art humanoid robots (such as Unitree) to lease them to enterprise clients as an end-to-end service (Hardware + Software + Maintenance). You will be responsible for the pilot application engineering: taking the humanoid robots to industrial sites, conducting feasibility studies, training the robots for specific tasks at the sites, and deploying them with the customer. Once the pilot phase is complete, you will transition to supervising the engineering team, continuously improving the software platform, scaling the team, and shaping the company's technical strategy. This position is in the early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, and taking responsibility for executive-level decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: 10% and up Salary: €90k gross per year Work arrangement: hybrid/on-site Work location : Brussels, frequent travel Responsibilities Lead the physical deployment of humanoid robots at client sites: directly interfacing with humanoid robots (like Unitree), configuring robots for client-specific tasks, and supervising integration of robots at factories, production floors, and warehouses. Oversee and improve the AI Copilot (natural language to robot motion), guide the architecture for motion generation, simulation environments, and reinforcement learning pipelines. Shape business decisions, product roadmaps, and technical strategy. Main requirements Expertise with configuring and integrating humanoid robots into real-world applications like factories, production, or logistics. Excellent technical skills in humanoid robots, their mechanical/mechatronic components, and control systems – you know what broke in the robot and how to fix it. Other requirements Excellent technical skills in robotics engineering, software simulation, and motion planning. Experience with reinforcement learning pipelines (PPO, SAC) and/or imitation learning. Strong Python skills. Comfortable working with physics engines/simulation environments (MuJoCo, Isaac Sim/Lab, or similar). Comfortable working with Linux, Docker, and GPU compute (NVIDIA). English fluency. Nice to have, but not mandatory Experience with Unitree robots. Familiarity with NVIDIA GR00T, Newton, or ROS2. Experience with URDF/MJCF model creation. Full-stack web development skills (React, FastAPI). Published research in robotics or ML for robotics. Conversational Dutch and/or French are an advantage.

You will lead embedded software development & system architecture for an early-stage deep-tech startup building sensor-fusion safety systems for industrial automation and robotics. You will work on the core runtime, integration layer, and engineering toolchain that enable the first certifiable product release under functional safety requirements such as SIL2 / PLd, in compliance with EU Machinery Regulation 2023/1230. You will be responsible for turning the platform into a certifiable, production-ready system: architecting and implementing the embedded software stack, defining real-time behavior and integration boundaries, establishing MISRA / AUTOSAR-compliant engineering practices, and building the verification pipeline with static analysis, simulation-in-the-loop, hardware-in-the-loop, telemetry, and observability. Once the first deployment is delivered, you will take on more leadership responsibilities for the technical team, influence the hiring of the next core engineers, and decide what the company should build versus buy. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: hybrid/on-site Work location: Berlin (ideally). Munich, Stuttgart, and North Rhine-Westphalia are also options. Belgium (Brussels/Flanders) is also an option. Responsibilities Own the embedded software architecture for the sensor-fusion safety platform, from runtime and integration layer to the engineering toolchain that supports the first certifiable product release. Design and implement the core embedded stack, including real-time execution model, module boundaries, inter-process communication, memory behavior, and integration with target hardware and sensors. Define the system architecture and implementation choices required to meet SIL2 / PLd and the EU Machinery Regulation 2023/1230 functional safety requirements. Establish and enforce software engineering practices aligned with MISRA C, MISRA C++, and AUTOSAR C++14, including code quality gates, review discipline, and compliance-ready development workflows. Build the verification and validation pipeline across static analysis, unit testing, simulation-in-the-loop, hardware-in-the-loop, telemetry, and observability. Drive safety lifecycle activities and evidence generation, including traceability, verification reports, and support for V-model, Automotive SPICE, or IEC 61508 Part 3 processes. Engage closely with safety, systems, and hardware stakeholders to define integration constraints, timing budgets, failure boundaries, and certification-relevant interfaces. Support formal safety analysis and assessment work, including FMEA, FMEDA, FTA, HAZOP, STPA, or related methods as needed for the product and assessor review. Collaborate with assessors, auditors, and certification bodies to prepare technical evidence and resolve architecture or implementation questions during the certification path. Make practical build-versus-buy decisions for the runtime stack, tooling, and infrastructure based on product risk, certification impact, and startup constraints. Work closely with the CTO to shape the company’s long-term embedded strategy for production readiness, maintainability, and scale in industrial automation and robotics environments. After the first deployment, gradually assume technical leadership over the embedded team, including mentoring, hiring input, and setting technical direction for the next platform milestones. Main requirements A track record of leading the development of production-grade embedded systems software at an early-stage or deep-tech company. Practical experience with functional safety assessment (SIL2, PLd, or ASIL-B) C++17 at a Senior level. Hands-on experience with MISRA C, MISRA C++, and AUTOSAR C++14 standards. Strong real-time experience with embedded Linux, PREEMPT_RT, or an RTOS like QNX, VxWorks, or Zephyr. Practical experience with safety-systems lifecycle: V-model, FMEA / FMEDA, FTA, traceability, evidence packaging. Fluent English Other requirements Proven experience building the platform toolchain: CMake, CI, containerization, simulation-in-the-loop, hardware-in-the-loop, telemetry, and observability. Hands-on experience with at least one: Polyspace, Helix QAC, LDRA, Parasoft C/C++test, or Vector CAST Nice to have, but not mandatory Knowledge of multimodal sensor fusion: stereo depth, time-of-flight, LWIR thermal, Kalman / EKF UKF, intrinsic and extrinsic calibration, time sync. Experience with CUDA / Jetson deployment for safety-classified workloads. Experience with automotive-grade SoCs like Qualcomm Snapdragon Ride, NVIDIA DRIVE, NXP S32, or Renesas R-Car. Experience as a Founder or Founding Engineer at an early-stage startup Conversional German Conversional Farsi Benefits Meal vouchers Potential support with relocation to Berlin

You will be responsible for shaping the functional safety journey for an early-stage startup team building a new sensor-fusion product for the robotics and automation sector. You will own the safety case end-to-end across individual components, product, and integration into robot cells. You will ensure that early customer deployments are certifiable under the CE marking and comply with the EU Machinery Regulation 2023/1230. You will be responsible for turning that safety case into a defensible certification package by running FMEDA, FTA, HAZOP, and STPA across product deployments, communicating with regulators, defining safety goals, functional safety requirements, technical safety requirements, and the traceability that connects them. You will be the technical authority in safety discussions with customers, integrators, and regulators, and you will shape how the company proves compliance in real industrial applications. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: hybrid/on-site Work location: Berlin (ideally). Munich, Stuttgart, and North Rhine-Westphalia are also options. Belgium (Brussels/Flanders) is also an option. Responsibilities Own functional safety strategy and safety case end-to-end. Lead FMEDA, FTA, HAZOP, and STPA for each deployment and translate findings into design actions. Define safety goals, derive functional and technical safety requirements, and maintain bidirectional traceability from hazards to architecture, implementation, and verified evidence. Build the safety evidence case required for a certifiable industry-grade product Lead acquisition of CE marking under the EU Machinery Regulation 2023/1230 with the regulators. Serve as the technical safety authority in conversations with customers, integrators, and regulators. Main requirements 6–10 years in functional safety engineering with at least one shipped SIL2 or PLd system. Proven ownership of a safety case through to certification or equivalent external assessment. Proficiency in IEC 61508 and ISO 13849 (SIL/PL determination, lifecycle, DC, MTTFd, CCF). Hands-on experience with FMEDA, FTA, HAZOP, and/or STPA, including outputs translated into real requirements and design changes. Experience defining safety goals, decomposing into functional and technical safety requirements, and maintaining auditable traceability. Proven experience interacting with notified bodies, assessors, or regulators Ability to act as the technical authority in safety decisions and defend them externally. Fluent English. Other requirements Working knowledge of IEC 62998 and EU Machinery Regulation 2023/1230 conformity assessment. Experience in robotics, industrial automation, or sensor-based safety systems. Any certification: CSME, TÜV FSCP, TÜV Rheinland FS Engineer, or exida CFSE. Practical experience with tools like Sistema, Ansys medini analyze, ISOGraph, Polarion, DOORS, LDRA, or Vector. Nice to have, but not mandatory Experience building safety documentation packages for CE marking. Familiarity with integrating safety into embedded/software development workflows (e.g., MISRA, AUTOSAR contexts). Ability to structure safety processes for a growing team (templates, workflows, review gates). Conversional German. Conversional Farsi. Benefits Meal vouchers Potential support with relocation to Berlin

This role owns real-time runtime for a new sensor-fusion safety system product in industrial automation and robotics. You will build the certifiable RTOS foundation on QNX OS for Safety and QNX Hypervisor for Safety, starting with hardware bring-up and BSP maintenance and culminating in a release that supports certification. You will define how mixed-critical workloads share a single SoC, design the partitioning and isolation strategy, and make the key runtime decisions around scheduling, IPC, memory behavior, and latency budgets. You will also keep the implementation aligned with MISRA C, MISRA C++, and AUTOSAR C++14, while producing the engineering and safety evidence needed for assessment under IEC 61508 and EU Machinery Regulation 2023/1230. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: hybrid/on-site Work location: Berlin (ideally). Munich, Stuttgart, and North Rhine-Westphalia are also options. Belgium (Brussels/Flanders) is also an option. Responsibilities Own QNX-based runtime end-to-end, from hardware to certified release. Port, integrate, and maintain QNX OS for Safety and QNX Hypervisor for Safety on target SoCs. Design mixed-criticality partitioning so multiple workloads can run on one SoC without compromising the safety case. Build and tune real-time execution for deterministic behavior, including scheduling, IPC, memory isolation, and worst-case latency budgets. Maintain the BSP and support low-level integration with boards, peripherals, and device drivers. Define and enforce coding and architecture discipline using MISRA C, MISRA C++, and AUTOSAR C++14. Produce the engineering, verification, and safety evidence needed for assessment under IEC 61508 and EU Machinery Regulation 2023/1230. Work closely with safety, hardware, and systems teams to translate requirements into a certifiable runtime platform. Main requirements Strong embedded systems background with proven ownership of production runtime software. Expert C and modern C++ skills, with solid experience in MISRA C, MISRA C++, or AUTOSAR C++14. Expert knowledge of QNX OS for Safety and QNX Hypervisor for Safety: microkernel message-passing, resource managers, adaptive partitioning, POSIX conformance. BSP or device-driver experience on at least one automotive- or robotics-grade SoC family: ARMv8-A or ARMv9-A fluency at the register, MMU, and IPC level. Process fluency in V-model, Automotive SPICE, or IEC 61508 Part 3. Ability to make architecture and implementation decisions that stand up in a safety review. Experience applying IEC 61508 and EU Machinery Regulation 2023/1230 requirements in a certifiable embedded system. Fluent English. Other requirements Experience taking a product through SIL2, ASIL-B, or higher assessment. Experience with hypervisor-based mixed-criticality systems beyond QNX. Practical safety analysis experience with FMEA, FMEDA, DFA, FTA, HAZOP, or STPA. Exposure to industrial cybersecurity or automotive cybersecurity requirements. Experience collaborating with assessors, auditors, or certification bodies. Comfort working in an early-stage startup where the runtime stack is still being shaped. Nice to have, but not mandatory Contributions to QNX-related open source. Experience at BlackBerry QNX or with similar safety-certified RTOS environments. Experience porting software from general-purpose Linux to an RTOS. Experience with additional safety-certified hypervisors such as INTEGRITY, PikeOS, or LynxOS-178. Familiarity with robotics platforms, autonomous systems, or medical-device-grade embedded software. Experience as a Founder or Founding Engineer at an early-stage startup Conversional German Conversional Farsi Benefits Meal vouchers Potential support with relocation to Berlin

You will lead product security and security architecture for an early-stage deep-tech startup building sensor-fusion safety systems for industrial automation and robotics. You will define security measures for how the product is built, deployed, and operated, so the first product release can pass customer and regulatory security reviews under CRA, IEC 62443-4-1/4-2, and ISO/IEC 27001. You will be responsible end-to-end for turning the platform into a secure, production-ready system: designing security architecture, running threat modeling for every integration, translating findings into shipped mitigations, hardening embedded Linux, firmware, and cloud components, and establishing secure engineering practices across the technical team. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: hybrid/on-site Work location: Berlin (ideally). Munich, Stuttgart, and North Rhine-Westphalia are also options. Belgium (Brussels/Flanders) is also an option. Responsibilities Own the security architecture for the product, from device and firmware to cloud and update infrastructure. Define how the product is built, signed, released, deployed, and updated securely. Perform TARA on every feature and integration, map attack paths and trust boundaries, assign risk, and implement required mitigations before release. Harden embedded Linux, firmware, cryptographic services, and cloud components against real-world attack paths. Coach the tech team on secure engineering practices: code review standards, secret-handling, access controls, and release discipline. Build and maintain the security evidence base required for customer reviews, audits, and regulatory alignment, including CRA, IEC 62443-4-1/4-2, and ISO/IEC 27001. Own incident-response readiness, vulnerability handling, and external penetration-testing coordination. Work closely with the Safety Lead so security and safety are designed in tandem. Main requirements 5+ years in product security, platform security, or embedded security, with hands-on software engineering experience. Expert in C and C++17 coding. Practical experience with hardening embedded Linux and firmware, including secure boot chains. Experience designing and implementing security architecture for connected products or cyber-physical systems. Practical experience with IEC 62443-4-1 / 4-2, ISO/IEC 27001, and CRA Annex I. Hands-on experience with cryptography and PKI in production systems. Cloud security expert. Skilled in threat modeling / TARA and converting findings into shipped mitigations. Fluent English. Other requirements Experience working on security for end-to-end systems: device, firmware, cloud, build, release, and update paths. Ability to establish and defend secure engineering practices across a tech team. Skilled in building security evidence for customer review, audits, and regulatory scrutiny. Experience coordinating incident readiness and external penetration testing. Nice to have, but not mandatory Published vulnerability research, CVEs Speaker at Black Hat, DEF CON, Pwn2Own, OffensiveCon, CCC, or Troopers. Experience with cyber-physical attack surfaces, anti-tamper, or reverse engineering threats. Experience with AI / ML system security, including model integrity and adversarial inputs. Experience with supply-chain security and code-signing frameworks. Conversional German Conversional Farsi Benefits Meal vouchers Potential support with relocation to Berlin

You will own the product-market fit strategy for a deep-tech startup building a next-generation deposition platform for semiconductor thin films. You will work on connecting thin-film deposition technology to existing and future use cases in the semiconductor industry. You will be responsible for defining which materials, films, and applications to focus on for pilot applications of the deposition platform. You will build the materials characterization pipeline needed to support pilot and fab qualification of the deposited thin films. You will also work closely with the CTO, mechanical engineers, and plasma process engineers to drive full-system architecture decisions by using your materials science knowledge to correlate deposited film properties back to plasma and process conditions. This position is in an early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: 4 days on-site, 1 day hybrid Work location: Eindhoven (High Tech Campus) Salary range: €85k to €115k gross per year Responsibilities Connect the core thin-film deposition technology to semiconductor use cases. Own the thin-film development roadmap across existing and new advanced semiconductor applications. Identify the main bottlenecks in the semiconductor industry and the required materials innovations in the next 5-7 years. Define and drive the material KPIs that matter for each film: composition, density, stress, uniformity, defects, electrical, thermal, etc. Own the full thin-film characterization pipeline: select the correct metrology, design characterization experiments, interpret results, and feed them back into process decisions. Manage external metrology partnerships and build internal metrology capability over time (ellipsometry, AFM, XPS, XRR, XRD, SEM, TEM, TOF-SIMS, electrical test, thermal test) Partner closely with the Plasma Process Engineers and the CTO to map plasma conditions to the resulting thin-film properties. Contribute to the IP strategy around materials and deposition processes. Main requirements PhD in materials science, applied physics, chemistry, or a related field (or MSc with an equivalent 5+years industrial track record). 2+ years of non-academic experience researching new materials for commercial chip stack (substrates, FEOL, MOL, BEOL, packaging, telecom, photonics). Knowledge of semiconductor industry materials roadmap for the next 5-7 years. Deep understanding of thin-film physics: nucleation and growth, microstructure, stress, defects, stoichiometry, and how these parameters are impacted by the deposition process. Fluent English Other requirements Hands-on experience with thin-film characterization metrology: ellipsometry, AFM, XPS, XRR, XRD, SEM, TEM, TOF-SIMS, electrical properties, thermal properties. Experience running multivariable DOE and statistical analysis on process data. Nice to have, but not mandatory Experience with ion-beam sputter deposition (IBSD) or ion-beam-assisted deposition (IBAD/DIBAD) Hands-on experience with PVD, CVD, ALD, and PLD Experience with ultra-low-k dielectrics and advanced metals for next-generation interconnects. Experience with advanced telecommunication materials. Experience with advanced chip heat-spreader and heat-sink materials. Benefits Support with relocation to Eindhoven (within reason)

You will own the mechanical design of a new semiconductor thin-film deposition equipment. You will be responsible for turning the prototype of a vacuum chamber into a fab-ready ion beam deposition system. You will take the lead on vacuum and thermal architecture, ion-source mechanical integration, precision assemblies for the target, and substrate-handling systems with thermal control and motion control. You will be responsible for defining the chamber layout, materials, interfaces, pumping strategy, and access requirements needed to support plasma operation, process stability, and diagnostics. You will work hand-in-hand with the CTO, Plasma Engineers, and Materials Engineers to drive full-system architectural decisions. This position is in an early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: 4 days on-site, 1 day hybrid Work location: Eindhoven (High Tech Campus) Salary range: €85k to €115k gross per year Responsibilities Design the vacuum chamber from scratch, integrating deep knowledge of vacuum physics into its mechanical architecture. Own mechanical design of the full deposition platform: vacuum chamber, flanges, feedthroughs, source assemblies, and substrate fixtures. Take designs from concept through CAD, FEA, fabrication drawings, and hands-on assembly. Design source mechanical integration: precision assemblies, thermal interfaces, alignment features, and tolerances that hold at operating temperature. Lead chamber design for custom configurations: geometry, pumping ports, diagnostic access, and serviceability. Drive component selection and supplier relationships for vacuum components, motion stages, seals, and materials. Main requirements Hands-on mechanical design experience with vacuum chambers or vacuum equipment. Proven track record of designing vacuum systems containing flanges, seals, feedthroughs, and leak-tight interfaces. Solid knowledge of vacuum physics fundamentals. Practical understanding of materials behavior in vacuum: vacuum compatibility, outgassing, surface finish, thermal compatibility, and plasma compatibility. Experience managing external suppliers and prototype workshops for part: design, procurement, test, validation, and assembly. Experience with GD&T and tolerance stack-up analysis on assemblies with tight mechanical budgets. Excellent knowledge of mechanical design software (CAD, SolidWorks, or similar). 5+ years of mechanical design and precision engineering experience. Fluent English Other requirements Experience designing kinematic and moving parts. Bachelor or Master in mechanical engineering, precision engineering, or any related field. Nice to have, but not mandatory Experience in end-to-end owning the design and integration of semiconductor equipment. Experience designing semiconductor equipment parts with tight mechanical budgets, like plasma source alignments and substrate fixtures. Experience with designing vacuum chambers for high-power plasma sources, ion sources, or electron-beam systems. Benefits Support with relocation to Eindhoven (within reason)

You will own plasma physics and process development for a new semiconductor thin-film deposition platform. You will work on understanding and controlling the plasma, mapping how plasma conditions impact deposited film properties, and defining the process windows needed to take the platform from proof of concept to a fab-ready deposition process. You will be responsible for characterising the plasma discharge, defining the KPIs and parameters that matter for repeatability and scale-up, and using your plasma physics expertise to understand how source design and plasma behaviour influence deposited film properties. You will apply those insights to guide full-system architecture decisions alongside the CTO, source engineers, materials engineers, and mechanical engineers. This position is in an early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, working directly alongside the CTO, and assuming wider responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is available Equity: ESOP available, will be discussed individually Work arrangement: 4 days on-site, 1 day hybrid Work location: Eindhoven (High Tech Campus) Salary range: €100k to €130k gross per year Responsibilities Take full ownership of the plasma side of the discharge-geometry loop. Own plasma discharge characterization and performance optimization for a semiconductor thin-film deposition platform. Define process windows, critical KPIs, and the scaling path for repeatability under fab-relevant conditions. Map plasma behaviour to deposited film properties across all deposition modes. Directly impact the source design and manage the physics of the plasma together with the CTO and source engineers. Collaborate with materials and mechanical engineering teams to drive full-system architectural decisions. Engage directly with semiconductor equipment OEMs and fab partners to establish process-level technical requirements. Contribute to the IP strategy around the source and plasma process. Main requirements PhD in plasma physics, applied physics, or a closely related field (or MSc with an equivalent 5+years industrial track record). Strong industrial background in plasma physics, with an emphasis on real-world hardware constraints (rather than purely academic exercises). Deep, first-principles understanding of plasma physics: sheath dynamics, beam extraction and transport, neutralisation, plasma-surface interactions, and energy/angular distributions. Practical experience translating plasma behaviour into process outcomes, including film composition, density, stress, uniformity, and defects. Hands-on experience with plasma diagnostics and interpreting complex measurement data: Langmuir probes, RGA, optical emission spectroscopy, and Faraday cups. High agency and self-starting capabilities – you must be a senior professional who already knows what to do without being steered. Fluent English Other requirements Experience with high-performance plasma systems, such as electric propulsion, fusion, or advanced ion sources. Nice to have, but not mandatory Understanding of thin-film characterization metrology: ellipsometry, AFM, XPS, XRR, XRD, SEM, TEM, TOF-SIMS, electrical test, thermal test. Previous experience scaling a plasma process from lab to pilot or production. Practical experience with semiconductor equipment, thin-film deposition, or vacuum process tools on a system-level. Experience with writing patents and IP strategy. Benefits Support with relocation to Eindhoven (within reason)

You must be physically located in UTC−02:00 to UTC−08:00 timezone for this role This is a long-term B2B engagement on an hourly basis, not a payroll job. We are looking for an experienced Oracle Database Support Engineer / DBA to provide long-term remote support for a business-critical cruise and ferry reservation platform used by an established European Managed Service Provider. The role focuses on Oracle database stability, performance, operational support, and troubleshooting in a production environment. You will work closely with application and infrastructure teams to investigate incidents, support operational changes, and determine whether issues originate in the database, application, infrastructure, or integration layers. Work location: remote Contract type: B2B Work arrangement: 30 to 50 hours per week Compensation range: €15 to €35 per hour Responsibilities Own Oracle database stability, performance, and operational reliability. Investigate and resolve database-related production incidents and performance issues. Support database operations, including scripts, snapshots, environment refreshes, patching, and rollback activities. Manage backup, snapshot, and restore operations, including Oracle databases running on AWS RDS. Troubleshoot failed batch and ETL processes from the database side. Distinguish database issues from application, infrastructure, and integration-related causes. Prepare clear technical evidence and findings for vendor escalation. Main Requirements Previous experience with cruise, ferry, travel, reservation, booking, or ticketing systems. Experience as an Oracle DBA or Database Support Engineer in production environments. Strong knowledge of Oracle SQL and PL/SQL. Location in UTC−02:00 to UTC−08:00 timezone Other Requirements Comfortable working independently in a remote production support environment. Able to prepare clear technical documentation and evidence for external vendor escalation. Hands-on experience with database performance investigation and tuning. Good understanding of database schemas and application-database interactions. Experience with production database operations, including backup, restore, snapshots, and environment refreshes. Experience in troubleshooting database-related incidents and identifying root causes. Experience running Oracle on AWS RDS. Exposure to Java/Tomcat application environments. Experience with ActiveMQ, ETL pipelines, and API-based integrations. Advanced English Nice to Have, but Not Mandatory Previous experience with Versonix Seaware. Previous experience working with a Managed Service Provider or managed service environments.

You will take responsibility for hands-on deployment, commissioning, and on-site integration of humanoid robots in real-world customer environments. Your work will focus on feasibility studies, installation, commissioning, troubleshooting, and optimization of both the hardware and software of humanoid robots at client locations across Europe. You will serve as a bridge between the newest humanoid robots and the operational realities of real enterprise customers. You will directly handle field testing, electromechanical troubleshooting, software troubleshooting, and physical validation while working closely with both internal engineering teams and external customer staff. This position is in the early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, and taking responsibility for decisions that shape the final product-market fit. Visa: Visa sponsorship is not available for this position. Equity: ESOP available, will be discussed individually Salary: €45-60k gross per year Work arrangement: hybrid (frequent work travel) Work location : Brussels Responsibilities Conduct feasibility studies and assess customer sites for humanoid robot deployment. Install, configure, commission, and integrate humanoid robots at customer locations across Europe. Support integration of robotic systems with customer infrastructure, workflows, and operational processes. Execute field testing, functional validation, and performance optimization of robotic systems. Perform hands-on electromechanical, electrical, and software troubleshooting during deployment and operation. Configure and troubleshoot WiFi and network connectivity in industrial environments. Use Python and Linux tools for basic diagnostics, configuration, and troubleshooting. Diagnose and resolve hardware, software, communication, and integration issues on-site. Work closely with internal robotics, software, and hardware engineering teams to resolve field issues and provide technical feedback. Collaborate directly with customer technical and operational teams during installation, commissioning, and validation. Document installation procedures, test results, technical issues, and troubleshooting activities. Provide on-site technical support and contribute to the continuous improvement of deployment and commissioning processes. Travel frequently across Europe to customer sites, including warehouses, factories, and distribution centers. Main requirements 2+ years of experience with robotics or industrial automation equipment. Experience with WiFi and network configuration in industrial environments. Good electrical, electromechanical, or software troubleshooting skills. Basic Python skills. Basic Linux knowledge. Other requirements Bachelor's or Master's in automation, electrical, electromechanical, or software. Valid driving license (category B). Willingness to travel frequently across Europe. Ability to lift robotic hardware and equipment up to 30kg. Comfortable working at clients’ sites (warehouses, factories, distribution centers). Fluent English. Nice to have, but not mandatory Experience with ROS2 or other robotic middleware controllers. Knowledge of safety standards (ISO 10218, EU Machinery Directive 2023/1230). Previous experience with wheeled or legged humanoids. Previous experience with mobile robots. Previous experience with warehouses, factories, or distribution centers. Benefits Company car Fuel card Company phone Meal vouchers Training budget Hospitalization insurance

You must be physically located in UTC−02:00 to UTC−08:00 timezone for this role This is a long-term B2B engagement on an hourly basis, not a payroll job. We are looking for an experienced Versonix Seaware Support Engineer to provide long-term remote technical support for an established European Managed Service Provider. The role is fully remote and suited to an experienced engineer who can independently investigate production issues, support existing systems, and collaborate with the technical teams and customers. The engagement focuses on supporting and maintaining a business-critical cruise and ferry reservation platform based on the Versonix Seaware solution. The environment combines a legacy Delphi-based core with modernized Java services and Oracle databases, requiring someone comfortable working across both established and modern technology stacks. Work location: remote Contract type: B2B Work arrangement: 30 to 50 hours per week Compensation range: €25 to €35 per hour Responsibilities Act as the L2 technical escalation point for production incidents, service outages, API failures, performance issues, and failed batch/integration jobs. Investigate application issues using logs, stack traces, configuration files, and service behavior to identify root causes. Support deployments, service restarts, configuration changes, and post-change validation. Assist with release and hotfix planning, including pre-checks, backout planning, and post-change validation. Prepare clear technical evidence and root-cause findings for vendor escalation. Main Requirements Previous experience with cruise, ferry, travel, reservation, booking, or ticketing systems. Experience with Delphi and Object Pascal, particularly in legacy enterprise systems or Windows services. Hands-on experience troubleshooting Java/Tomcat applications, including JVM behavior, heap/memory issues, and REST/SOAP APIs. Solid experience supporting Windows Server environments, including Windows services and application behavior. Proven experience with incident management, troubleshooting, and root-cause analysis. Ability to analyze application logs, Java/Tomcat logs, stack traces, configuration files, and service behavior to identify technical issues. Experience supporting deployments, restarts, configuration changes, and production releases/hotfixes. Location in UTC−02:00 to UTC−08:00 timezone Other Requirements Comfortable working independently as an L2 escalation point in a remote support environment. Willingness to work with legacy enterprise applications and investigate issues beyond the immediate application layer. Fluent English Nice to Have, but Not Mandatory Previous experience with Versonix Seaware. Previous experience working with a Managed Service Provider or managed service environments.

You will lead validation and test engineering for hardware (high-performance gearboxes and compact actuation systems) used for humanoid robots, cobots, and wearable devices. You will be responsible for setting measurable performance and durability targets, designing hardware test setups, assembling hardware test rigs, selecting appropriate hardware measurement equipment, developing automated hardware test procedures, creating data processing pipelines, documenting conclusions, coordinating with customers and suppliers on quality issues, identifying root causes of failures, and proposing improvements before release to production. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, close collaboration with the CEO/CTO, and wider responsibility for both testing outcomes and decisions that affect the final product. As the company grows, you can expect rapid advancement into leadership roles. Own hardware validation (gearbox and actuation systems) projects: hardware test requirements, hardware test design, hardware verification. Define measurable performance and durability targets and establish pass/fail criteria. Develop test plans, procedures, and acceptance protocols. Design, build, and maintain physical test rigs, fixtures, and measurement setups. Specify instrumentation and DAQ requirements. Perform sensor selection and calibration. Execute functional, environmental, life, and reliability test campaigns (torque, efficiency, backlash, vibration, thermal, endurance). Perform failure analysis, identify root causes, propose corrective actions, and verify improvements. Automate test sequences and data workflows. Own testing data and produce clear test reports. Communicate progress, risks, and mitigation to stakeholders and customers. Proven industry experience in hardware-level testing methodologies for any of the following: Transmissions, drivetrains, or electric vehicle drive units Robotic arms, joint mechanisms, or linear motion systems Hydraulic systems, compressors, turbines, pumps, heavy-duty drivetrains, or earth-moving equipment Flight control surfaces, landing gear deployment, or helicopter rotors Proven ability to design, physically assemble, and troubleshoot custom mechanical test stands and fixtures. Practical knowledge of selecting, mounting, and wiring physical sensors, including torque transducers, rotary encoders, strain gauges, thermocouples, and accelerometers. Experience in configuring and operating dynamometers, servo motors, or variable frequency drives (VFDs) to apply torque and dynamic loads. Experience executing environmental and durability methods: vibration (NVH), thermal cycling, shock, and accelerated life testing (ALT). Experience with DAQ hardware and measurement software (LabVIEW, NI, HBM, or similar). Experience with scripting languages for test automation and data analysis (Python, MATLAB, or similar). Ability to operate autonomously: identify risks, propose concrete solutions, prioritise, and execute without step-by-step instructions. English fluency. Leadership or mentoring experience.

You must be physically located in the American or European timezone. This is a long-term B2B engagement on an hourly basis, not a payroll job. You will own the integration layer and full-stack product surfaces for an AI-powered sales intelligence platform that helps enterprise sales teams close more deals. You will work on pulling signals from the tools that sales representatives already use (Salesforce, Gong, Slack, email) into an AI layer that gives them the right sales-action signals at the right moment. You will be responsible for connecting to the sales stacks our customers use, ingesting data at real-time scale, and ensuring nothing breaks when data gets messy. You will build native AI integrations, high-throughput pipelines, and full-stack product surfaces, applying your expertise to shape the architecture directly alongside the founders. This position is in a pre-seed, fast-moving startup environment. You should be ready for ambiguity, rapid iteration, and assuming wider ownership, as you will be one of the first engineering hires building something reps say they would pay for tomorrow. Build native integrations with Salesforce, HubSpot, Gong, Slack, Gmail/Outlook, and Google Drive. Develop high-throughput data ingestion and pipeline infrastructure with a focus on real-time processing, not batch. Own sync logic, webhooks, OAuth flows, and API rate-limit handling across third-party platforms. Build full-stack product surfaces, including onboarding flows, CRM sync UI, and admin configuration panels. Design scalable backend services that can handle enterprise data volumes from day one. Collaborate directly with product-obsessed founders to shape architecture from the ground up. Full-stack experience, with meaningful time spent on integration or platform work. Deep familiarity with at least one major CRM or GTM platform. Backend experience with TypeScript/Node.js or Python. Strong backend fundamentals: REST/GraphQL APIs, webhooks, async processing, and data modeling. Frontend experience with React. Experience building scalable services that will be robust under a high load. Fast self-learner who can ship fast with AI tools. Startup mentality: you ship, you own, you don’t wait for a spec. Advanced English. Experience with Salesforce, Gong, Outreach, or similar sales tooling APIs. Familiarity with event-driven architectures (Kafka, Pub/Sub, or similar).

You will lead the development of the AI systems that power a humanoid robotics platform, with a focus on Vision-Language-Action (VLA) models and world models. Your mission will be to develop the intelligence layer that allows humanoid robots to understand their environment, reason about tasks, and generate reliable actions in real-world settings. You will drive research and engineering efforts to improve model capabilities, accelerate training, and shorten the path from AI development to real-world robot deployment. You will investigate new approaches in embodied AI, multimodal learning, simulation-driven training, and scalable data generation to enable humanoid robots to perform increasingly complex tasks. This role requires a combination of deep research expertise and practical engineering judgment. You will translate advances in AI research into systems that enhance robot capabilities, working closely with robotics engineers to integrate models into the full humanoid robot stack for real-world applications such as factories and warehouses. This position is in an early-stage startup environment. You will have significant ownership and autonomy, so you should be a self-starter who can operate independently, define technical direction, make key architectural decisions, and navigate ambiguity without relying on detailed guidance. Define and lead the AI roadmap focused on Vision-Language-Action models and world models for humanoid robotics. Develop and improve multimodal AI models that connect perception, language understanding, reasoning, and robot actions. Research and implement approaches to improve training efficiency, model performance, and deployment speed. Develop strategies for data collection, synthetic data generation, simulation, and large-scale model training. Design evaluation frameworks to measure model performance, generalization, and real-world robot capabilities. Adapt and deploy state-of-the-art AI research into practical humanoid robot applications. Collaborate with robotics engineers to integrate AI models with robot control and execution systems. Build and lead the AI team as the company grows. PhD in machine learning, artificial intelligence, robotics, computer vision, or a related field. 2+ years of industry experience developing Vision-Language-Action models, world models, embodied AI systems, or related multimodal AI technologies. Strong understanding of multimodal learning, foundation models, and modern deep learning architectures. Hands-on experience training, fine-tuning, and scaling large neural networks. Strong Python and PyTorch skills. Experience with large-scale GPU training infrastructure and distributed model training. Experience developing AI systems using robotics datasets, video data, or large-scale trajectory data. Experience with robotics simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms. Experience applying AI models to robotics, autonomous systems, or other real-world embodied applications. Fluent English. Published research contributions in AI/ML, robotics, computer vision, or embodied AI, with evidence of developing novel methods or approaches. Experience with Vision-Language-Action models (e.g., OpenVLA, RT-2, π0, or similar approaches). Experience developing world models, video prediction models, or generative models for embodied AI. Experience leading AI research projects or technical teams.

You will co-develop the AI Copilot software that allows users to control humanoid robots through natural language. Your work will focus on motion generation, learning-based control, and AI systems that translate LLM instructions into robot motion and actions. You will develop algorithms and software that enable humanoid robots to reliably perform complex tasks in dynamic real-world environments. Your work will involve designing reinforcement-learning and imitation-learning pipelines, developing simulation workflows in MuJoCo and Isaac Lab, and deploying trained policies to physical robots. You will address challenges such as sim-to-real transfer, policy robustness, and policy performance across diverse real-world tasks and environments. This position is in an early-stage startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, and taking responsibility for executive-level decisions that shape the final product-market fit. Develop AI-based control and motion generation algorithms for humanoid robots. Design and optimize reinforcement learning and imitation learning pipelines. Build and maintain simulation workflows using MuJoCo, Isaac Lab, or similar physics engines. Deploy and validate trained policies on physical robots. Improve sim-to-real transfer, policy robustness, and task performance across real-world environments. Develop robotics software using Python, Linux, Docker, and GPU-based compute infrastructure. Create and maintain robot models, simulation assets, and training environments. Collaborate with the engineering team to integrate new capabilities into the AI Copilot platform. 2+ years of experience in robotics, simulation, or motion planning. Strong Python programming skills. Experience with robot simulation environments such as MuJoCo, Isaac Lab, Isaac Sim, or similar. Experience with reinforcement learning (PPO, SAC) or imitation learning. Solid understanding of robot kinematics, dynamics, and control. Experience working with Linux and NVIDIA GPU-based computing. Experience developing robotics or machine learning software. Experience with Docker and containerized development environments. Fluent English. Experience with humanoid robots, legged robots, or robotic manipulation. Familiarity with NVIDIA Isaac Lab, GR00T, Newton, or similar AI frameworks. Experience with ROS2. Experience creating robot models using URDF or MJCF. Published research in robotics or machine learning. Full-stack development experience for web or APIs (React, FastAPI).

You will take responsibility for metrology and e-beam inspection activities supporting advanced patterning, bonding, and in-resist scumming investigations in a high-tech cleanroom environment. You will operate e-beam inspection and metrology systems for recipe development, data collection, and analysis. You will serve as the technical metrology point of contact between customers, integration teams, and process teams. You will also organize project documentation, maintain a central SharePoint, and present project results and progress during technical review meetings. This position is offered through an engineering consulting company. You will be employed by the consulting company and assigned to the client’s project. Develop and optimize metrology recipes for e-beam inspection applications. Operate e-beam inspection and metrology equipment and perform measurement runs in the cleanroom. Acquire, process, and analyze measurement and inspection data. Develop, document, and maintain Best-Known Methods for metrology and image analysis. Investigate measurement results and identify sources of variation, defects, or process-related issues. Coordinate metrology activities and technical requirements with customers, integration teams, and process engineers. Maintain project documentation, measurement results, and technical records in SharePoint. Prepare technical reports, summarize findings, and present results during project and technical review meetings. Support the continuous improvement of metrology methods, workflows, and data-analysis approaches. Master’s degree. 1+ years of experience with cleanroom or fab metrology. Experience with e-beam defect inspection metrology. Experience with data collection and analysis for metrology applications. Advanced English. Hands-on experience with CD-SEM. Hands-on experience with e-beam systems.

You will play a key role in the technical development of high-performance gearboxes and compact actuation systems for humanoid robots, cobots, and wearable devices. You will be responsible for turning novel ideas and concepts into industry-grade products by defining requirements, producing 3D designs and detailed drawings, interacting with parts suppliers and prototype workshops, and iterating designs towards industrial production. This position is in a startup environment. You should be ready for ambiguity, tight schedules, shifting priorities, rapid iteration, close collaboration with the CEO/CTO, and wider responsibility for both hands-on prototyping and decisions that affect the final product. As the company grows, you can expect rapid advancement into leadership roles. Visa: Work authorization in the EU is preferred. Visa sponsorship will be offered only to exceptional candidates. Equity: The position typically does not include an equity package. However, equity can be awarded to exceptional candidates or at a later stage, once you have grown into a leadership position. Key responsibilities Own end-to-end development for new gearbox/actuation projects: requirements, design, prototyping, verification, and industrialization. Make technical decisions based on the trade-offs, communicate rationale, and drive prototype/product delivery with minimal supervision. Manage external suppliers and prototype workshops: oversee parts design, parts procurement/manufacturing with external partners, validation, and assembly. Optimize designs for performance, manufacturability, cost, reliability, serviceability, and safety. Communicate progress, risks, and mitigation to stakeholders. Main requirement Proven experience with small gearboxes, transmissions, and compact actuators. Other requirements Several years of industrial mechanical design and prototype experience. Demonstrated product or design ownership: examples of projects you drove end-to-end, including decisions made and outcomes delivered. Ability to operate autonomously: identify problems, propose concrete solutions, prioritize actions, execute without step-by-step instructions, and escalate appropriately. Experience in 3D CAD (SolidWorks or equivalent) from concept models to detailed drawings suitable for manufacturing. Solid understanding of relevant mechanical components: gears, shafts, bearings, seals, couplings, housings, fasteners, preloads, and fits. Practical experience applying geometric dimensioning & tolerancing (GD&T) for precision assemblies. Knowledge of material selection for drivetrain components: material trade-offs for strength, wear, weight, and manufacturability. Solid understanding of constraints of manufacturing methods for small gearbox components: CNC turning/milling, hobbing/gear cutting, broaching, gear grinding, EDM, heat treatment, surface finishing, injection molding, die casting, and additive manufacturing. English fluency Nice to have, but not mandatory Leadership or mentoring experience. Experience with backdrivable, low-inertia, high-efficiency transmissions. Benefits Meal vouchers (€10 day) Company car