
SE3 Labs · Undisclosed test site 35km from Munich
🚀 JOIN SE3 LABS AS (SENIOR) TECHNICAL FIELD ENGINEER — ROBOTICS INTEGRATION & DEPLOYMENT Be the person who makes advanced autonomous systems work in the real ...
🚀 JOIN SE3 LABS AS (SENIOR) TECHNICAL FIELD ENGINEER — ROBOTICS INTEGRATION & DEPLOYMENT
Be the person who makes advanced autonomous systems work in the real world. Move across the full stack: drones, sensors,
calibration, autonomy software, perception, networking, payloads, field operations, and partner environments. When the system is
not mission-ready, you create clarity, find the root cause, and help make it robust.
SE3 Labs is building Spatial AI by combining 3D computer vision with large language models. We believe the ability to reason about
and act within physical space is foundational to unlocking the next generation of automation, from construction to smart
infrastructure, and ultimately, defence.
Now, we’re bringing Spatial AI into the sky through high-performance UAVs that can perceive, localize, coordinate, and act in the
real world. This requires more than strong algorithms and good hardware. It requires systems that can be configured, calibrated,
tested, deployed, demonstrated, debugged, and improved under real field conditions.
We’re looking for a hands-on engineer who wants to work close to the product, close to the field, and close to the full autonomy
stack. Someone who is not limited to one layer, but follows the problem wherever it leads.
As (Senior) Technical Field Engineer — Robotics Integration & Deployment, you will own the last mile between SE3’s engineering
team and real-world use. You will bring together UAVs, payloads, sensors, onboard compute, autonomy software, operator tools, and
partner environments into systems that are ready to fly, test, demonstrate, and deploy.
This is a highly hands-on, full-stack field engineering role. When something is not working, you go where the evidence leads:
recalibrate a sensor, solve an issue in the perception stack, debug a radio link, inspect a harness, analyse a flight log, adapt
an autonomy behavior, fix a configuration issue, improve a checklist, or bring the right evidence back to the engineering team.
The problems you will work on are complex, dynamic, and multivariable. You will often have partial information, limited time,
imperfect tools, and a system where hardware, software, environment, and operator behavior interact in non-obvious ways. Your job
is to create clarity, choose the right debugging path, and drive the system toward a robust long-term solution.
You will work closely with perception, robotics software, embedded, hardware, and flight-test teams. You will not just operate
systems; you will make them better. Your work will determine how quickly SE3 moves from prototype to repeatable deployment, from
demo to product, and from individual systems to operational fleets.
efficient debugging workflows, reproduce failures, analyse logs, and drive lasting solutions that make the system more robust
long term.
workflows. When the root cause requires it, contribute directly to the layer that matters, from sensor calibration and
deployment configuration to perception-stack behavior, autonomy logic, networking, or hardware integration.
software, operator interfaces, and deployment tooling into field-ready systems. Configure and validate perception-stack
behavior, mission logic, autonomy behaviors, operator workflows, and system responses under real operating conditions.
complex system behavior faster. Improve scripts, checklists, dashboards, log pipelines, diagnostics, configuration tools, and
deployment workflows.
configurations. Own readiness checks across calibration, software flashing, networking, sensors, and pre-mission setup. Make
readiness measurable, repeatable, and hard to fake.
evidence into better hardware, software, procedures, and product decisions.
demonstrations, exercises, and real-world deployments. Make sure our autonomous platforms perform reliably where it matters.
engineering requirements, and represent SE3 with technical credibility outside the lab.
clarity, iterate fast, and prefer finding and fixing root causes over applying patches.
Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Embedded Systems, Mechatronics, or a related field.
industrial automation, or defence systems.
systems, mechanical interfaces, networking, and operator tools.
issues, and communicate findings clearly.
power issues, work with lab equipment, and stay systematic when the problem is messy.
stressful situations, and represent SE3 professionally outside the lab.
other strategic markets.
sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security
clearance.
coordination.
RF interference, tactical communication links, and debugging connectivity issues in the field.
other lab and field equipment.
detection, mapping, navigation, or mission autonomy.
issues, or intermittent hardware failures.
workflows.
processes.
the limits together with you. We are an AI-first company empowering every employee with best-in-class AI tools and agents,
giving you unlimited access to the latest advancements and a true productivity edge.
1. Intro Call (20 min): Let’s get to know each other
2. Technical Interview (60 min): We dive into your experience with robotics systems in the field, complex debugging, system
integration, and your technical background.
3. Onsite Trial/Case (1.5 hrs): We’ll integrate, diagnose, debug, or test something together, just like on the job.
4. Team Dinner/Lunch: See if it’s a culture fit on both sides
EMBEDDED SOFTWARE / FIRMWARE ENGINEER Own the low-level software layer of our autonomy platform across drones, payload and ground systems. Your work defines the fieldability, robustness and performance of our core product. ABOUT SE3 SE3 Labs is building Spatial AI by combining 3D computer vision with large language models (LLMs). We believe the ability to reason about and act within physical space is foundational to unlocking the next generation of automation, from construction to smart infrastructure, and ultimately, defense. Now, we’re building the physical platform to bring Spatial AI to life. That means high-performance, real-world robotic systems (starting with UAVs) and we’re looking for a skilled, hands-on embedded engineer who’s ready to power the foundation of these systems and have them communicate, update and perform reliably in the real world. ABOUT THE ROLE As Embedded Software / Firmware Engineer, you’ll own the low-level software foundation across our embedded platforms - from bring-up and driver development to deployment tooling and in-field update infrastructure. You’ll work across diverse compute platforms, enabling new sensors, cameras, AI accelerators and networked peripherals and turning prototypes into robust, fieldable systems. This is a hands-on, on-site role in our prototyping and test space, with optional travel for field trials and partner testing. You’ll work closely with our hardware design and testing teams while collaborating with our world-class AI software team to ship vertically integrated solutions fast. Your contributions will directly shape system architecture and hardware design, and the systems you support will move quickly from bench to real-world testing and front-line deployment at scale reshaping Europe's defense capability. WHAT YOU’LL WORK ON * Requirements & Bring-Up: Translate system needs into low-level software architecture and bring new boards and subsystems to life across Jetson, Arm and STM32 platforms * Drivers & Interfaces: Develop and maintain drivers and hardware-facing software for sensors, cameras, AI accelerators and communication networks * Kernel & System Layer: Work across embedded Linux, kernel and device-tree configuration, BSP-level integration and board bring-up to create stable, maintainable foundations * Flash, Boot & Deploy: Build and refine flashing, booting and serial deployment tooling for development, production, update and recovery workflows * Troubleshoot & Iterate: Debug on the bench, isolate failures fast, improve performance and stability, iterate until systems are ready for field use * Integrate & Maintain: Support system integration across aircraft platforms, work closely with hardware engineers and continuously improve performance, reliability and long-term maintainability YOUR PROFILE * M.Sc. or higher in Computer Engineering, Electrical Engineering, Robotics, Embedded Systems or a related field * You bring 2+ years of hands-on experience in low-level software or firmware development for embedded systems; we’re equally interested and will reward more senior engineers who want to work deeply hands-on * You’re strong in C and Python and comfortable shipping real systems on embedded Linux in robotics, automotive or other hardware-adjacent environments * You have practical experience with hardware interfaces and protocols such as I2C, SPI, CAN, Ethernet and MIPI-based camera interfaces. * You’re comfortable with board bring-up, serial consoles, flashing workflows, boot issues, hardware-near debugging and systematic troubleshooting on real hardware * You know how to make software not just functional, but deployable, maintainable and robust under real-world conditions * You know how to validate low-level software on real hardware through structured debugging, integration testing and release-oriented validation. * Most importantly, you’re structured, fast-moving and mission-driven. You don’t wait for perfect specs but take ownership and iterate until it works * You thrive in a high-impact startup environment and are comfortable with a demanding execution pace, including sustained high intensity around critical milestones ESPECIALLY VALUED BONUS SKILLS * Experience with secure boot, signed update systems, rollback and recovery strategies, or other security-critical deployment infrastructure * Yocto-based build systems, custom Linux image creation, and U-Boot * Experience with ROS and related robotics middleware is a plus * Camera bring-up and Linux media pipelines, including GStreamer * Experience integrating AI accelerators or other high-performance compute peripherals * Experience with UAVs, robotics, defense systems or other hardware that gets tested outside the lab PERKS & BENEFITS * Work Environment to Excel at: Find a high-quality and modern toolset, flat hierarchy and a skilled, driven team which will push the limits together with you * AI-boosted workplace: We empower every employee with best-in-class AI tools and agents, giving you unlimited access to the latest advancements and a true productivity edge * Real Ownership: Get early, real stock to participate directly in SE3’s growth * 31 Paid Days Off: 30 vacation days plus your birthday off * Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass * Team Offsites: We go on 2 company retreats per year, our last ones were in Italy, Greece and Spain * Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth OUR PROCESS 1. Intro Call (20 min): Let’s get to know each other (conducted by Michael, our Chief of Staff) 2. Technical Interview (45 min): (with Siva, Computer Vision Engineer) 3. Onsite Trial/Case (1.5 hrs): We’ll bring up and troubleshoot something together, just like on the job (together with our Hardware Team) 4. Team Dinner/Lunch: See if it’s a culture fit on both sides (can be integrated into the Onsite to accommodate long journeys)
ABOUT US STARK is a defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned vehicles that are software-defined, mass-scalable, and cost effective – giving NATO and its allies a decisive edge in the most contested environments. We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today. ABOUT THE TEAM Minerva is STARK's command and control software — the brain that connects operators to autonomous systems across multiple domains in real time. The Minerva team is a small, senior software group based in Berlin and Munich, working directly with our systems and hardware teams to build mission-critical C2 capabilities deployed in active operational environments. We move fast, ship real software, and operate under constraints most engineers never encounter — low-bandwidth networks, air-gapped devices, high-stakes decision loops. There is no room for abstraction for its own sake. Everything we build ends up in the hands of real operators in the field. YOUR MISSION As a Robotics Engineer with a focus on embedded perception systems, you will play a critical role in enabling real-time autonomy onboard next-generation UAV platforms. You will work directly with camera data pipelines, ROS2-based systems, and embedded compute platforms to build robust, efficient, and scalable perception functionality. You will contribute as a highly skilled individual contributor—hands-on with the system—bridging diverse codebases and enabling data flows across native ROS2 nodes, legacy frameworks, and containerized third-party modules. Your work will be essential to ensuring that our autonomous systems operate reliably in real-world, resource-constrained environments. RESPONSIBILITIES * Develop and integrate real-time perception pipelines on embedded platforms such as the Jetson Nano NX. * Migrate legacy monolithic systems to ROS2, refactoring and modularizing components for better scalability and maintainability. * Enable and optimize image data access across native and containerized components (e.g., Dockerized ROS2 processes). * Design and implement low-level camera and sensor drivers for real-time vision acquisition. * Collaborate with AI, controls, and hardware teams to ensure tight integration between perception and other onboard subsystems. * Profile and debug system performance under embedded constraints (compute, thermal, bandwidth), ensuring stability and robustness in field deployments. * Contribute to system-level architecture discussions with a focus on communication reliability and modularity. QUALIFICATIONS * Bachelor’s or Master’s degree in Engineering or a related technical field. * Strong experience with ROS2, including real-world deployment and integration of perception modules. * Proficient in Python and C++ for embedded and robotics development. * Solid background in robotics, autonomous systems, embedded development, or aerospace applications. * Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices. * Experience integrating containerized processes (e.g., Docker) into onboard robotic systems. * Ability to navigate and coordinate between different frameworks (ROS2, legacy/custom codebases, third-party modules). * Strong problem-solving and debugging skills, especially in real-time or resource-constrained environments. * Effective communicator and team player in multidisciplinary engineering teams. * Self-driven, organized, and adaptable to fast-paced development cycles. * Willingness to travel occasionally for field testing and deployment.
🚀 JOIN SE3 LABS AS SENIOR PERCEPTION ENGINEER Own the spatial state-estimation layer of our autonomy platform. Build the perception systems that let drones understand where they are, what they see, and how to operate when GPS, lighting, timing, and the real world get difficult. ABOUT SE3 SE3 Labs is building Spatial AI by combining 3D computer vision with large language models. We believe the ability to reason about and act within physical space is foundational to unlocking the next generation of automation, from construction to smart infrastructure, and ultimately, defence. Now, we’re bringing Spatial AI into the sky through high-performance UAVs that can perceive, localize, coordinate, and act in the real world. This requires perception systems that are not just accurate in a notebook, but robust on real sensors, on real compute, in real missions. ABOUT THE ROLE As Senior Perception Engineer - VIO / SLAM / Sensor Fusion, you will own core parts of the real-time perception and localization stack for our autonomous systems. You will develop and deploy the algorithms that let our platforms estimate motion, maintain pose, build spatial understanding, and operate reliably in degraded or GPS-denied environments. You will work across visual-inertial odometry, SLAM, sensor fusion, calibration, time synchronization, mapping, and real-time systems. Your work will sit at the center of our autonomy platform: connecting cameras, IMUs, GNSS, onboard compute, control systems, payloads, and Spatial AI models into a coherent understanding of the world. This is a hands-on engineering role. You will design algorithms, write production code, analyze logs, debug sensor issues, validate performance in simulation and flight, and work closely with robotics software, embedded, hardware, and field teams to turn perception research into fieldable capability. WHAT YOU’LL WORK ON * Continuously push the boundary of what's possible: Improve state estimation capabilities in very difficult field conditions during heavy rain, snow, fog, in the night, under strong vibration, motion blur, imperfect calibration and sensor degradation. Utilize improved fusion, novel deep learning methods and our data engine. * VIO & State Estimation: Build, tune, and deploy robust visual-inertial odometry and state-estimation pipelines for robotics systems operating in dynamic, outdoor, and GPS-challenged environments. Initial focus is on UAVs, but we want to build algorithms that work well for any robotics system. * Sensor Fusion: Fuse and synchronize data from cameras, IMUs, magnetometers, barometers, and other onboard sensors into reliable pose, orientation, uncertainty estimates, and spatial context for downstream autonomy. * SLAM & Re-localization: Build mapping, loop closure, re-localization, and map-based navigation capabilities that let our systems maintain spatial understanding across missions, environments, and degraded sensor conditions. * Calibration & Timing: Own intrinsic, extrinsic, and temporal calibration workflows. Diagnose drift, latency, frame drops, sync issues, rolling-shutter effects, vibration, and sensor degradation. * Real-Time Deployment: Optimize perception pipelines for onboard compute, including Nvidia Jetson-class platforms, low-power edge CPUs/GPUs, and resource-constrained robotic systems. * Validation & Regression: Build replayable log pipelines, evaluation datasets, test metrics, and automated regression tests to measure localization accuracy, robustness, latency, and failure modes on a huge company-internal benchmark. * Field Debugging: Analyze real mission logs, reproduce failures, isolate root causes, and improve the system until it works not only in ideal conditions, but in the field. * Autonomy Integration: Define clean interfaces to planning, control, fleet coordination, operator UI, and Spatial AI systems so that perception outputs are usable, reliable, and explainable. * Technical Leadership: Mentor engineers, review architecture and code, raise engineering standards, and help define the long-term perception roadmap for SE3’s autonomous systems. YOUR PROFILE * Most importantly, you’re structured, fast-moving, and mission-driven. You don’t wait for perfection. You iterate fast. You love building things that last and analyse and fix root cause problems over applying patches. * You hold an M.Sc., Ph.D., or equivalent practical background in Robotics, Computer Vision, Electrical Engineering, Computer Science, Aerospace Engineering, or a related technical field. * You bring several years of hands-on experience building perception, SLAM, VIO, localization, sensor-fusion, or state-estimation systems for real-world robotics, AR/VR, autonomous vehicles, drones, or adjacent domains. * You have strong foundations in 3D geometry, linear algebra, probability, estimation theory, optimization, filtering, and real-time robotics systems. * You are strong in C++, Python or Rust and comfortable writing production-quality software for Linux-based robotic systems. * You have practical experience with techniques such as EKF, factor graphs, nonlinear least squares, bundle adjustment, visual odometry, inertial navigation, calibration, and multi-sensor fusion. * You have worked with real sensors and understand that perception failures often come from timing, calibration, vibration, lighting, motion blur, data quality, or integration issues rather than from the algorithm alone. * You care about metrics, logs, reproducibility, and systematic validation. You don’t just make a demo work once; you build the tools to know when it works, when it fails, and why. * You speak fluent English; German is a plus. Given the nature of SE3’s work in the defence sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security clearance. ESPECIALLY VALUED BONUS SKILLS * Experience deploying perception systems on Nvidia Jetson, embedded CPUs/GPUs, writing CUDA kernels, optimizing deep neural networks for edge deployment. * Experience with LWIR thermal cameras (for navigation), rolling shutter effects, visual-inertial calibration, multi-camera rigs, fisheye/wide-angle lenses or monocular depth. * Experience with GNSS-denied navigation in UAV context, terrain-relative navigation, map-based localization and re-localization. * Experience building evaluation datasets, replay systems, perception observability, log tooling, and automated regression pipelines. * Publications or open-source contributions in SLAM, VIO, 3D computer vision, state estimation, or robotics are welcome, but not required. PERKS & BENEFITS * Real Ownership: Get equity early, real stock options to participate directly in SE3’s growth * Work Environment to Excel at: Find a high-quality and modern toolset, flat hierarchy and a skilled, driven team which will push the limits together with you * AI-boosted workplace: We empower every employee with best-in-class AI tools and agents, giving you unlimited access to the latest advancements and a true productivity edge * 31 Paid Days Off: 30 vacation days plus your birthday off * Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass * Team Offsites: We go on 2 company retreats per year, our last ones were in Italy and Greece * Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth OUR PROCESS 1. Intro Call (20 min): Let’s get to know each other 2. Coding / Algorithm Interview: (90 min): We work through a practical perception, estimation, or robotics software problem together 3. Technical Interview (1 hr): We dive into your experience with perception, state estimation, SLAM/VIO, robotics, and real-world debugging 4. Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides.