(senior) software engineer - robotic applications

director, it engineering - end user support

senior applied ai / ml data engineer (f/m/x)

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

senior software engineer

(senior) software engineer - robotic applications Jobs in Munich

ai automation engineer (m/f/d) Jobs in Munich

ai automation engineer (m/f/d)

ai engineer (m/w/d)

robotics application engineer

Brainlab

<div>Company Description 
Founded in Munich, Germany in 1989, Brainlab develops, manufactures and markets software-driven medical technology, enabling access to improved, more efficient, less-invasive patient treatments. Our key to success is our creative, talented and hard-working team, which consists of around 2400 dedicated and inspiring individuals in 25 locations worldwide. To succeed in reaching our targets, we are seeking committed colleagues who can stand behind our core values curious, authentic and useful. 
Job Description 
As an Applications Software Engineer, you will be involved in the entire development lifecycle - from the initial idea to the final product launch. Working within a multidisciplinary team, you will design and build software that integrates our robotic arm into the clinical workflow of Brainlab navigation systems and helps bring robotics safely into the operating room. We are looking for a motivated and collaborative professional who combines strong software engineering skills with an interest in medical technology, usability, system integration and high-quality software development.
As an Applications Software Engineer, you will:<ul><li>
Design, implement and test application software that integrates a robotic arm into clinical workflows on Brainlab navigation platforms.</li><li>
Develop product features across the application stack, including C++ backend components, user-facing GUI functionality and robotics algorithms.</li><li>
Translate clinical and user workflow requirements into robust, intuitive and safe software solutions for surgeons and clinical staff.</li><li>
Work on the integration of the robotic system into a larger medical device ecosystem, including communication with other software and medical devices.</li><li>
Contribute to interoperability topics such as DICOM, FHIR and network-based system integration.</li><li>
Be involved in the development process from the very first idea until the final product launch.</li><li>
Analyze risks, document and verify the development in a regulated medical device environment.</li><li>
Work closely with your international colleagues from different teams and disciplines.</li></ul> 
Qualifications 
<ul><li>
A degree in Computer Science, Medical Engineering, Robotics, Physics, Engineering or a related discipline, or equivalent working experience</li><li>
Strong problem-solving skills and experience in software design and implementation, with a strong focus on code quality, maintainability and testing</li><li>
Solid experience in C++ and experience with TypeScript/HTML5 or modern GUI development is plus</li><li>
Experience with medical device software, system integration or interoperability standards such as DICOM and FHIR is a plus</li><li>
Knowledge of networking, test automation, embedded systems or robotics is beneficial</li><li>
Basic knowledge of working with version control systems (Git, GitLab/GitHub)</li><li>
You want to be part of a high-skilled team and make a difference with your code every day</li><li>
Fluent English, eagerness to learn German and ability to communicate with colleagues from all around the world and different areas of specialty complete your profile</li></ul> 

Additional Information 
<ul><li>
A mutually-supportive, international team</li><li>
Meaningful work with a lasting impact on medical technology</li><li>
30 vacation days, plus December 24th and December 31st</li><li>
Bike leasing via cooperation partner &quot;BikeLeasing&quot;</li><li>
Parking garage and safe underground bike storage</li><li>
Award-winning subsidized company restaurant and in-house cafes</li><li>
Variety-rich fitness program in our ultra-modern 360m2 company gym</li><li>
Regular after work, team, and company events</li><li>
Comprehensive training and continuing education opportunities</li></ul>
Ready to apply? We look forward to receiving your online application including your first available start date and desired salary.
Contact person: Ayline F&ouml;ll</div>

(Senior) Software Engineer - Robotic Applications

develop

<div>
 
 
 
 About the Company
 
 
 
 
 My client is a highly innovative, venture-backed robotics pioneer based in Munich's thriving deep-tech hub. They bridge the gap between advanced artificial intelligence and the physical world by building state-of-the-art robotic platforms designed to automate complex tasks in dynamic, real-world environments. By integrating next-generation hardware with advanced Computer Vision, Spatial Intelligence, and Embodied AI, they empower industries to run more fluidly, efficiently, and safely.
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 The company is seeking an engineering-focused
 
 MLOps Engineer
 
 with a foundational background in Applied AI to take ownership of the machine learning lifecycle pipeline. This is not a typical cloud-SaaS or FinTech MLOps role; the engineer will solve the unique challenges of
 
 Edge MLOps
 
 - taking complex perception and vision models from cloud-based experimentation and deploying them directly onto resource-constrained physical robotic hardware.
 
 
 The ideal candidate sits at the intersection of Machine Learning, Infrastructure Engineering, and Hardware-Software Integration. They will collaborate heavily with AI Researchers, Core Robotics Software Engineers, and Cloud Infrastructure teams to ensure that the company&rsquo;s moving fleet of robots can reliably see, reason, and act.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Pipeline Automation:
 
 Design, build, and maintain robust, end-to-end ML orchestration pipelines (from data ingestion and synthetic data generation to distributed multi-GPU training and model testing).
 </li>
 <li>
 
 Hardware Optimization &amp; Edge Deployment:
 
 Develop automated compilation, quantization, and pruning workflows to optimize deep learning models (e.g., Computer Vision, Transformer-based architectures) targeting edge-compute accelerators like NVIDIA Jetson or custom automotive/robotic SoCs.
 </li>
 <li>
 
 Data Fleet Infrastructure:
 
 Engineer high-throughput, multi-modal data loops capable of handling massive streams of sensory data (camera frames, point clouds, telemetry) and establish smart data-curation methods to upload edge-edge failures for retraining.
 </li>
 <li>
 
 Lifecycle &amp; Experiment Management:
 
 Set up and enforce rigorous experiment tracking, model registry, versioning, and approval gates using tools like MLflow or Weights &amp; Biases to guarantee absolute reproducibility.
 </li>
 <li>
 
 Continuous Monitoring &amp; Drift Detection:
 
 Build observability stacks and dashboards (e.g., Prometheus, Grafana) to track real-time model inference degradation, sensor drift, and physical environment anomalies out in the field.
 </li>
 <li>
 
 CI/CD Integration:
 
 Construct reliable infrastructure-as-code (IaC) and containerization frameworks to push seamless Over-the-Air (OTA) model and firmware updates securely to a fleet of physical robots.
 </li>
 </ul>
 
 
 
 
 
 
 Profile &amp; Requirements
 
 
 
 <ul>
 <li>
 
 Education:
 
 University degree (B.Sc., M.Sc., or Ph.D.) in Computer Science, Robotics, Electrical Engineering, Data Infrastructure, or a comparable technical field.
 </li>
 <li>
 
 Experience:
 
 2 to 5 years of professional experience in MLOps, DevOps, or Machine Learning Infrastructure engineering roles.
 </li>
 <li>
 
 Software Skills:
 
 Production-grade
 
 Python
 
 skills are mandatory. Comfort working in Linux environments and a familiarity with C++ or hermetic build systems (e.g., Bazel) is highly beneficial.
 </li>
 <li>
 
 AI/ML Foundations:
 
 Solid baseline understanding of Machine Learning and Deep Learning concepts, specifically with hands-on exposure to frameworks like
 
 PyTorch
 
 , OpenCV, or Hugging Face Transformers.
 </li>
 <li>
 
 Cloud &amp; Infrastructure:
 
 Proven experience managing production workloads in containerized environments via
 
 Docker
 
 and
 
 Kubernetes
 
 (including experience configuring accelerator node pools/GPUs). Strong familiarity with AWS, GCP, or Azure infrastructure and Terraform.
 </li>
 <li>
 
 Nice-to-Haves:
 
 Exposure to the Robot Operating System (
 
 ROS/ROS2
 
 ), robotics data serialization/logging tools (like MCAP or Foxglove), or model optimization runtimes (TensorRT, ONNX Runtime).
 </li>
 </ul>
 
 
 
 
 
 
 What the Company Offers
 
 
 
 <ul>
 <li>
 
 Deep Tech Impact:
 
 The chance to work directly on physical robotic platforms and watch code directly translate into hardware mechanics.
 </li>
 <li>
 
 Highly Competitive Compensation:
 
 Attractive base salary paired with equity package structures and performance-driven bonuses.
 </li>
 <li>
 
 Modern Work Culture:
 
 Flexible hybrid working arrangements, 30 days of annual paid vacation, and access to state-of-the-art laboratory and testing spaces in Munich.
 </li>
 <li>
 
 Relocation Support:
 
 Comprehensive assistance with visa processing, bureaucratic onboarding, and relocation expenses for international talent moving to Munich.
 </li>
 </ul>
</div>

MLOps Engineer (m/f/d) – Embodied AI & Robotics Platform

ARX Robotics GmbH

<div><div><h2 class="jobSectionHeader">About the Role</h2>
</div>
<div></div><div>As a Field Robotics Software &amp; Communications Engineer (m/f/d), you are the crucial link between our advanced robotics and the real world. You will be the on-site software and communications expert during military exercises, customer demonstrations, and complex integration projects, ensuring our autonomous systems perform flawlessly under the most demanding conditions.

This role is for a hands-on problem-solver who thrives at the intersection of software, networking, and hardware. You will configure controllers, master tactical communication links, and troubleshoot complex systems directly in the field. Your work ensures our platforms stay connected, intelligent, and mission-ready when it matters most.
</div>
<div><h2 class="jobSectionHeader">What You'll Build</h2>
</div><ul><li>Deploy, configure, and validate our robotic platforms at customer sites and during live field exercises.</li>
<li>Master our diverse communication stack, from tactical radios and satellite terminals to secure LTE/5G networks.</li>
<li>Configure mission software and control interfaces to ensure stable and reliable field operations.</li>
<li>Integrate cutting-edge sensors, payloads, and third-party systems using modern APIs and SDKs.</li>
<li>Become the go-to expert for diagnosing and resolving complex software and networking issues under operational pressure.</li>
<li>Empower end-users by providing expert on-site training, scenario support, and technical assistance.</li>
<li>Translate field learnings into actionable feedback for our engineering teams, directly shaping the future of our products.</li>
</ul><div><h2 class="jobSectionHeader">What You Bring</h2>
</div><ul><li>A strong technical background in computer science, robotics, or engineering, gained through a degree or equivalent hands-on experience.</li>
<li>Deep knowledge of software and communication systems, ideally applied to robotics or unmanned platforms.</li>
<li>Hands-on experience with embedded Linux, networking fundamentals (TCP/UDP, routing), and scripting (C++/Python).</li>
<li>Practical experience with advanced communication hardware, such as tactical radios, LTE/5G modems, or satellite systems.</li>
<li>The ability to troubleshoot complex, system-level issues that span software, communications, and hardware.</li>
<li>A proactive, hands-on mindset and a genuine passion for solving operational problems in the field.</li>
<li>Clear communication skills in English; proficiency in German is a plus.</li>
<li>Willingness to travel frequently to support missions across Germany and the EU - ideally based in or around Munich.</li>
</ul>
 <h2 class="jobSectionHeader">Nice To Have</h2>

<ul><li>Experience with defense communication systems or mesh networking (MANET).</li>
<li>Knowledge of cybersecurity principles for communication and unmanned systems.</li>
<li>Familiarity with deploying software updates in mobile or field environments.</li>
<li>An understanding of ruggedized hardware and outdoor operational constraints</li>
</ul>
Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.
<h2 class="jobSectionHeader">
 What We Offer</h2>

Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business!
<ul>
<li>Competitive compensation package including a bonus opportunity</li>
<li>27 vacation days to start, increasing with tenure up to 30 days</li>
<li>Employer-supported pension contribution</li>
<li>Learning &amp; development support and team events budget</li>
<li>Employee discounts and flexible benefits budget via Probonio</li>
<li>Hybrid working setup depending on role and team needs</li>
<li>Structured salary bands, levelling framework, and bi-annual development conversations</li>
<li>Referral bonus program, dog-friendly office, and relocation support where applicable</li></ul><div><h2 class="jobSectionHeader"> 
About Us</h2>

ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations. 
 
As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture. 
 
If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology! 
 
ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.

You can find ARX Robotics Applicant Privacy Policy here.</div></div>

Field Robotics Software & Communications Engineer (m/f/d)

NXP Semiconductors

<div>AI is rapidly moving beyond research labs and into the real world&mdash;powering advancements in vehicles, factories, hospitals, homes, drones and everyday devices. NXP&rsquo;s Global Sales organization is the force that transforms our intelligent edge vision into meaningful market impact. We operate on the front lines of innovation, delivering real‑world AI, secure edge intelligence, and breakthrough technologies to the customers shaping tomorrow&rsquo;s world.
As a strategic partner at the intersection of customer ambition and NXP capability, our global sales team drives alignment, opens new markets, and builds the relationships that lead to design wins and revenue growth.
As part of the evolution of the European Microprocessors (MPUs) and Discrete Neural Processors Units (DNPUs) Field Application Engineering organization, we are looking for a senior FAE to support our solutions for key customers in EMEA with a focus on the robotics segment and more specifically drones.
 
 
In this role, working closely with Sales and Key Account Managers, you will act as the primary technical interface to customer engineering teams, supporting system architects and developers in defining and deploying next-generation systems.
Responsibilities
<ul><li>Provide technical leadership to sales teams and customers covering edge-compute architecture, processor selection, bring-up, and software stack integration for NXP MPU and DNPU processors targeting robotics platforms.
</li><li>Partner with customers on the design of companion computers, central compute, vision/perception subsystems, and HMI nodes &mdash; from silicon selection through Linux board bring-up, kernel/driver enablement, and system performance tuning.
</li><li>Design support and lab troubleshooting through schematic reviews, bench bring-up, debugging, and root-cause analysis across hardware, kernel, drivers, and middleware.
</li><li>Enable customer AI, vision, and sensor-fusion workloads on NXP processors and integrated NPUs, helping customers move models from training frameworks to optimized on-device inference for perception, navigation, and HMI use cases.
</li></ul>Job Qualifications
<ul><li>Master&rsquo;s degree in Electrical Engineering, Computer Engineering or Computer Science
</li><li>10+ years in embedded systems development or applications support of MPU / SoC-based platforms running embedded Linux, with demonstrated technical leadership.
</li></ul><ul><li>Strong embedded Linux experience across the full stack: bootloader (u-boot), kernel and device drivers, device tree, Yocto / build system, and user-space integration.
</li><li>Working knowledge of Python or scripting for tooling and automation.
</li><li>Hands-on experience with ARM Cortex-A class application processors and heterogeneous compute architectures pairing application cores with real-time microcontroller cores.
</li><li>Working knowledge of high-speed application-processor interfaces and how to design around them: LPDDR, PCIe, USB 3.x, MIPI-CSI / MIPI-DSI, Gigabit / Multi-Gigabit Ethernet, SDIO / eMMC, and QSPI.
</li></ul><ul><li>Excellent verbal and written communication for both technical and non-technical stakeholders.
</li></ul><ul><li>Willingness to travel
</li><li>Fluent English required
</li></ul>Specialty and bonus skills
<ul><li>Hands-on experience enabling AI / ML workloads on edge processors and integrated NPUs, including model conversion and optimization from common training frameworks to on-device inference for robotics perception.
</li><li>Familiarity with robotics middleware and stacks: Rust, ROS / ROS 2, DDS, real-time Linux (PREEMPT_RT), and common SLAM, navigation, and motion-planning frameworks.
</li><li>Working knowledge of platform security: TrustZone, secure boot, OP-TEE, integrated secure enclaves, and secure-element integration for authenticated robotics endpoints.
</li><li>Familiarity with power-management subsystems for application processors (PMIC integration, DVFS, multi-rail / thermal management) and battery-powered system architectures.
</li><li>Working knowledge of functional safety (ISO 26262, IEC 61508 / SIL 2&ndash;3) and cybersecurity (ISO 21434, IEC 62443) standards relevant to industrial and automotive edge-compute systems.
</li></ul>More information about NXP in Germany...
#LI-38ff</div>

Senior Field Application Engineer (FAE) - MPU & DNPU – Robotics/Drones

OMEGGA

<div><h2 class="jobSectionHeader">What We&rsquo;re Building Towards</h2>
At Omegga, we're on a mission to reinvent how AI and spectroscopy can drive positive change for animals, people and the planet. We started with a clear objective: eliminate chick culling on a global scale through early, non-invasive detection. This outdated practice still impacts billions of lives, and we're here to change that. We're not building for the niche, we're building for the global standard.
Today, our systems are already in use, and the focus is on scaling performance, robustness, and deployment across an international customer base. For us, scaling means more than growth. It means changing an industry for the better.
We are looking for people who take ownership, think in systems, and want to help turn a working product into the industry benchmark. If that sounds like you, we'd love to hear from you.<h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2>
We're looking for a robotics engineer whose strength sits on the software side but who understands the full system. You're comfortable working across real-time control, cloud infrastructure, and hardware interfaces, and you take ownership of everything from bringing a robot into production to keeping it running reliably at customer sites. You thrive on solving problems across the full stack and take pride in systems that just work.<h2 class="jobSectionHeader">
What You&rsquo;ll Build</h2><ul><li>
Own and evolve our robot control system, built on Motorcortex, ensuring reliable and precise operation across customer deployments</li><li>
Develop and maintain cloud-based remote control and monitoring capabilities using AWS Greengrass, including automated alerting and diagnostics</li><li>
Remotely operate and oversee robot systems at customer sites, taking responsibility for uptime and performance</li><li>
Troubleshoot issues across the full stack, from control software to hardware interfaces, in close collaboration with the hardware team</li><li>
Develop and execute structured testing and quality assurance workflows for robot control and automation systems, covering integration testing, regression testing, commissioning checks, and release validation</li><li>
Build and maintain hardware-in-the-loop test setups to validate control logic, sensor feedback, actuator behavior, fault cases, and recovery scenarios before deployment to customer systems</li><li>
Advance calibration routines and sensor selection for in-hatchery egg detection</li><li>
Work with EtherCAT-based communication systems to ensure robust real-time control of actuators and sensors</li><li>
Interface with operational data to continuously improve system performance and inform product development</li></ul><h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Degree in Electrical Engineering, Mechanical Engineering, Robotics, or a related field</li><li>
3-5 years of experience in robot control systems, with a strong software focus</li><li>
Proven track record of bringing robotic systems into production and maintaining them in live environments</li><li>
Experience with real-time control frameworks, ideally Motorcortex or comparable platforms</li><li>
Working knowledge of industrial communication protocols, especially EtherCAT</li><li>
Experience with cloud and edge computing for robotics or IoT (AWS Greengrass or similar)</li><li>
Comfortable working at the interface between software and hardware with main focus on software</li><li>
Strong problem-solving skills with a structured approach to troubleshooting complex systems</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Get</h2>
Mission &amp; Technical Challenge: At Omegga, you work on problems that are both technically demanding and globally relevant. We build deep-tech solutions with real-world impact, pushing the boundaries of what's currently possible.
Relocation Support: Moving to Munich? We help you find an apartment in the Werksviertel within walking distance of the office. We connect you with the right contacts and take the stress out of apartment hunting.
Work Environment: Located in Munich's Werksviertel, we combine a focused, high-performance culture with flexibility. Up to 50% remote work, depending on role and execution needs.
Ownership: VSOPs (Virtual Stock Options) so you share in the value you help create.
Time Off: 28 vacation days per year, plus December 24th and 31st off.
Benefits &amp; Growth<ul><li>
Monthly meal budget for whatever keeps you going, from quick lunches to proper team dinners</li><li>
Monthly perks budget to spend where it actually matters to you &mdash; fitness, mobility, or the occasional &quot;I earned this&quot; purchase</li><li>
Annual learning budget to invest in your growth, from conferences to deep dives into new domains</li><li>
Free drinks, coffee, and snacks in the office to keep you focused throughout the day</li></ul></div>

Senior Robotics Automation Engineer (m/f/d)

NEURA Robotics

<div><h3 class="jobSectionHeader">Your mission &amp; challenges</h3><ul><li>
Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution</li><li>
Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies</li><li>
Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation</li><li>
Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality</li><li>
Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures</li><li>
Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration</li><li>
Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap</li><li>
Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency</li></ul><h3 class="jobSectionHeader">
What we can look forward to</h3><ul><li>
Master&rsquo;s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field</li><li>
5+ years of hands-on machine learning experience in robotics, with strong expertise in at least two areas such as vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models</li><li>
At least 2+ years of experience in people management or formal technical leadership (e.g., tech lead, staff engineer, or team lead with direct reports)</li><li>
Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow</li><li>
Comfortable working directly with real robot hardware and associated middleware</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus</li><li>
Proven track record of delivering complex, multi-month robotics projects with measurable outcomes</li><li>
Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (human)

AutoBrains Technologies

<div>We want to bring on an engineer for the planner stack. This is an engineering role at heart, developing the logic that triggers/executes various driving maneuvers.
But it's not a pure desk job. Because we release new software fast and have cars driving around town every day, this person will also stay close to the testing side: seeing their code run on the real car, helping keep an eye on our daily test drives, and being aware of what new code is being released across the company. Monitor improvements and degradation.
We're looking for a sharp, early-career engineer who's excited about robotics and autonomous driving. Someone who's curious, self-driven, and eager to get hands-on with real autonomy challenges. If you enjoy solving tough technical problems, learning fast, and making an impact in a startup environment, we'd love to hear from you. 
Requirements:
 
<ul><li>Master's degree in engineering or a STEM field (e.g. electrical engineering, deep learning / ML, robotics, or similar)</li><li>
Experience in robotics, autonomous driving, or control engineering</li><li>
Experience with Machine Learning</li><li>
Coding</li><li>
Experience with Linux</li><li>
Curious, self-driven, good communicator</li><li>
Driver's license (occasional test drives)</li></ul>
Bonus<ul><li>
Experience with Docker</li><li>
Experience with ROS</li></ul> 
Responsibilities:
 
<ul><li>Develop and improve the planner stack (the software that decides how the car moves)</li><li>
Keep aware of what new software is being released across the company</li><li>
Stay close to our daily test drives, monitor improvements/degradation</li><li>
Join test drives</li></ul></div>

Planner Stack Engineer

Explore 155+ Robotics application engineer in Munich this July. Find roles across top companies and apply now to boost your career.