(senior) engineer, software ivv test & integration, iris2

director, it engineering - end user support

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

(junior) cloud site reliability engineer (network) (m/f/x)

senior software engineer

(senior) engineer, software ivv test & integration, iris2 Jobs in Munich

ai engineer (m/w/d)

ai solutions engineer

applied ai engineer

computer vision engineer

Isarsoft

<div><h4 class="jobSectionHeader">We are Isarsoft</h4>
We make every camera count 
At Isarsoft we develop video analytics software to make transportation and cities more efficient, inclusive and secure. We stand for data protection and responsible processing of sensitive data. Being on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. 
 
Our customers and partners are at the center of everything we do. Founded in 2019 we have grown organically winning large customers and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company focusing on long-term relations to our customers and team members.<h4 class="jobSectionHeader"> 
Your mission</h4>
As Working Student Software Engineer at Isarsoft you will be at the heart of the research and development. You will be closely working together with our international team including Isarsoft's CTO and Co-Founder. Your responsibilities include researching and developing algorithms for camera calibration, synchronization, and real-time video analytics.<h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Strong Python Skills: You are highly proficient in Python and feel completely comfortable manipulating and analyzing data with libraries like Pandas and NumPy.</li><li>
CV/ML Experience: You have a solid foundational knowledge and hands-on experience in Computer Vision and/or Machine Learning, specifically with PyTorch and OpenCV. (Strong academic experience, such as relevant university lectures, thesis work, or student projects, is absolutely welcome!)</li><li>
Development Fundamentals: You know your way around Linux environments and are comfortable using Git for version control.</li><li>
Modern Coding Practices: You are comfortable and efficient using AI coding assistants (like GitHub Copilot) to optimize your daily work.</li><li>
Passionate about working with talented, motivated professionals
</li><li>Fluent in English</li><li>
Location: You must be currently based in or willing to relocate to the Munich area, as this role requires regular on-site collaboration.</li></ul><h4 class="jobSectionHeader"> 
Additional assets</h4><ul><li>
Familiarity or first touchpoints with VLMs (Vision-Language Models) or LLMs (Large Language Models).</li><li>
Basic knowledge of C++ (e.g., for reading or maintaining existing codebase).</li><li>
Basic understanding of Docker and containerized workflows.</li><li>
Exposure to deployment and optimization tools like ONNX or TensorRT.</li></ul><h4 class="jobSectionHeader">
Benefits</h4><ul><li><div>
An experienced, highly motivated and international team to learn and grow</div></li><li><div>
A high-impact work environment with flat hierarchies and short decision-making processes</div></li><li><div>
Have the flexibility to work from anywhere: A great office in Garching nearby Munich, from home or the English-Garden</div></li><li><div>
Free lunch, coffee and drinks at our office</div></li></ul><div>
Sounds good? We are just getting started. Let's build a great company together.</div><h4 class="jobSectionHeader"> 
Hiring Process</h4>
We are committed to a transparent and fair hiring process. We aim for concluding the interview process in no longer than 3 weeks. 
 
There are two stages for a Working Student position at Isarsoft. 
<ul><li>
Video Interview with HR</li><li>
Technical Deep Dive</li></ul>
We deeply believe that a great product only can be build by a great team. That's why sharing our values, being a team-player and having a energetic attitude is as important as bringing the right technical skills.<h4 class="jobSectionHeader">
About us</h4>
Learn more about Isarsoft
 
www.isarsoft.com 
 
Follow us on social media 
LinkedIn | YouTube | Twitter 
 
Fun fact: Isar is the river flowing through the heart of Munich contributing to making it one of the most liveable cities in the world. Isarsoft Perception provides people-, and traffic flow analytics to enhance mobility, safety and live in cities across the globe. 
 
Let's make every camera count!</div>

Working Student Computer Vision Engineer

Luma Vision

<div>LUMA Vision is a start-up based in Dublin (Ireland) and Munich (Germany) developing innovative imaging technologies to advance healthcare and solve global unmet clinical needs. We apply rigorous engineering and design to create new hardware, software and data-science technologies towards clinical procedures. Our focus is on developing sophisticated ultrasound cardiac imaging and navigation systems that provide essential real-time visualisation for advanced electrophysiology and structural heart procedures, leveraging diverse technologies to transform patient care.
To drive our platform development, we are looking for a Medical Deep Learning Computer Vision Engineer to join our growing team in our quest to produce high-quality medical device software. You will become part of a dynamic group of innovators, shaping the future of imaging in healthcare. 
Your role with us:
As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.
Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment. 
What you offer:<ul><li>
BSc or MSc degree in computer science, biomedical engineering or a related field.</li><li>
3+ years of professional experience in image processing, computer vision or deep learning for real-world applications</li><li>
Strong proficiency in Python with demonstrated ability to write production-grade code.</li><li>
Professional experience in deep learning development for computer vision.</li><li>
Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.</li><li>
Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.</li><li>
Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.</li><li>
Hands-on, collaborative problem-solving mindset and excellent communication skills in English.</li></ul> 
Nice-to-Have:<ul><li>
Experience with C++ and/or CUDA.</li><li>
Experience with medical imaging (cardiac focus and/or ultrasound a plus)</li><li>
Exposure to MLOps and model deployment.</li><li>
Secure data handling with GDPR compliance for sensitive (healthcare) data.</li></ul> 
What we offer:<ul><li>
Ownership of meaningful work, your code will directly impact patient care and clinical outcomes.</li><li>
A growing and collaborative multinational team with a strong focus on team culture and individual development.</li><li>
Access to global network of clinical, technical and business innovators.</li><li>
Competitive salary with participation in employee participation scheme</li><li>
Flexible hybrid working with ergonomic offices in Dublin and Munich, both easily reachable by public transport.</li></ul>
LUMA Vision is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
Would you like to become part of our team?
We would love to hear from you!</div>

Medical Deep Learning Computer Vision Engineer (m/w/d)

osapiens

<div><h3 class="jobSectionHeader">Description</h3><div> 
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation. 
 
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"> 
Your Responsibilities</h3><div> 
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will... 
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul> 
<h3 class="jobSectionHeader">
Your Experience</h3> 
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"> 
Join us for this and more...</h3> 
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
</li><li>A high-impact internship with responsibility from day one and direct collaboration with experienced leaders.</li>
<li>Hands-on project ownership and the chance to design processes that scale across our global customer base.</li>
<li>A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"> 
About osapiens</h3><div>
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. 
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

ImFusion GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
Help build the future of image-guided interventions.
At ImFusion, we develop software for medical imaging, computer vision, AI and robotics. Our technology is used by leading medical device companies worldwide to bring innovative products into clinical practice. 
We're looking for a Senior C++ Software Engineer to help solve challenging problems in medical imaging and image-guided interventions. 
What you'll work on
You will develop technology that combines live ultrasound with pre-operative imaging to support image-guided interventions. 
 
Typical projects include: 
<ul><li>
Medical image visualization, segmentation and registration</li><li>
Fusion of live ultrasound with pre-operative imaging</li><li>
Real-time image processing and ML integration</li><li>
Development of core components of the ImFusion software framework</li></ul>
 
Depending on your interests and experience, you may take ownership of customer projects, contribute to product decisions, interact directly with leading MedTech companies, or represent ImFusion at conferences and workshops. 
 
Work from anywhere in the EU, fully remotely or from our Munich office.<h4 class="jobSectionHeader">
Your profile</h4>
What we're looking for<ul><li>
Excellent software engineering skills in C++</li><li>
MSc, PhD, or equivalent industry experience in Medical Imaging, Computer Vision, Machine Learning / Deep Learning, 3D Image Processing, or a related field</li><li>
Ability to communicate complex technical topics clearly to both engineers and customers</li><li>
Ownership mindset and willingness to drive projects forward</li><li>
Professional proficiency in English</li></ul>
Nice to have<ul><li>
Experience with Linux and Windows development</li><li>
Familiarity with CUDA/OpenCL, Python, Qt and/or CMake</li><li>
Experience with DevOps/CI, real-time systems and/or machine learning</li><li>
Exposure to medical imaging technologies</li><li>
Background in Ultrasound</li></ul><h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Build technology that becomes real medical products and improves patient care</li><li>
Work on challenging problems in medical imaging, computer vision and AI</li><li>
Flexible working arrangements, competitive compensation and a highly skilled international team</li></ul><h4 class="jobSectionHeader">
About us</h4>
ImFusion GmbH is a growing company located in Munich, conducting research, development and consulting in advanced medical image computing technologies and computer vision. Our customers include small and large medical device companies as well as academic research labs. We wish to expand our team with talented and motivated people. 
 
We are an equal opportunity employer and are committed to creating an inclusive and diverse workplace where everyone feels valued and empowered. We celebrate diversity and welcome applications from people of all backgrounds, regardless of ethnic origin, religion, gender, gender identity, sexual orientation, age, marital status, disability, or any other legally protected characteristic. Our goal is to foster a culture of belonging, where different perspectives drive innovation and success. 
 
You think you can be a good fit? We'd love to hear from you!</div>

Senior C++ Software Engineer – Medical Imaging (m/w/x)

Abbott

<div>About Abbott
Abbott is a global healthcare leader, creating breakthrough science to improve people&rsquo;s health. We&rsquo;re always looking towards the future, anticipating changes in medical science and technology.
In Germany, Abbott has more than 4,000 employees working in manufacturing, research and development, logistics, manufacturing, sales and marketing. They are located at Abbott`s German headquarters in Wiesbaden and its sites in Hanover, Neustadt am R&uuml;benberge, Wetzlar, Eschborn, Cologne, Jena and Hamburg.
Working at Abbott
At Abbott, you can do work that matters and help people to live a healthier and full life, grow your career, and learn, be your true self. You will have access to:
<ul><li>Career development with an international company where you can grow the career you dream of</li><li>
An attractive benefits package (e.g. attractive Abbott Pension Plan, a company bike, employee stock purchase program)</li><li>
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
</li><li>A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
</li><li>A challenging position in a fast-growing crisis independent industry</li><li>
To become part of a dynamic, highly educated, highly skilled, and motivated team</li><li>
Flat hierarchies, open appreciative mentality, and efficient, constructive lines of communication</li><li>
Multi-national environment, where we foster the development of our talents within the enterprise</li></ul>
The Opportunity
This position works out of our Munich location in the Laralab GmbH.
Your Tasks:<ul><li>
Develop algorithms combining deep learning, computational geometry, and medical imaging for heart.ai, our cloud-based software supporting cardiac interventions.</li><li>
Contribute to 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows.</li><li>
Design, train, and validate DL models and geometry methods for integration into the heart.ai platform.</li><li>
Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs.</li><li>
Support work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards.</li><li>
Assist with and contribute ideas for improving algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods.</li></ul>
Your Qualification:<ul><li>
BSc or MSc in Computer Science, Biomedical Engineering, Applied Mathematics, or a related technical field.</li><li>
Experience in developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations.</li><li>
Solid software development skills, particularly in Python, and ideally experience with TypeScript and cloud products.</li><li>
Background in medical image analysis (CT/MRI/echo), including 3D data processing, mesh handling, and geometric feature extraction.</li><li>
Experience or displayed interest in algorithm optimization, numerical stability, and rigorous validation methodologies.</li><li>
Ideally first experience collaborating with engineering, product, clinical, and quality teams; ideally within medical or regulated environments.</li><li>
Strong communication skills, structured problem‑solving capabilities, and a high sense of ownership.</li></ul>
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
We ask for your understanding that we only consider online applications via our online application portal. Applications by email or post cannot be processed. Original documents will not be returned. 
Connect with us at www.abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott</div>

Software Engineer (m/f/d) Deep Learning and Algorithms

SE3 Labs

<div><h2 class="jobSectionHeader">Join SE3 Labs as Senior Perception Engineer</h2>
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.<div> 
</div><h2 class="jobSectionHeader">
About SE3</h2>
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&rsquo;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.<div> 
</div><h2 class="jobSectionHeader">
About the Role</h2>
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.<div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Work On</h2><ul><li>
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.</li><li>
VIO &amp; 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.</li><li>
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.</li><li>
SLAM &amp; 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.</li><li>
Calibration &amp; Timing: Own intrinsic, extrinsic, and temporal calibration workflows. Diagnose drift, latency, frame drops, sync issues, rolling-shutter effects, vibration, and sensor degradation.</li><li>
Real-Time Deployment: Optimize perception pipelines for onboard compute, including Nvidia Jetson-class platforms, low-power edge CPUs/GPUs, and resource-constrained robotic systems.</li><li>
Validation &amp; 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.</li><li>
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.</li><li>
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.</li><li>
Technical Leadership: Mentor engineers, review architecture and code, raise engineering standards, and help define the long-term perception roadmap for SE3&rsquo;s autonomous systems.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Most importantly, you&rsquo;re structured, fast-moving, and mission-driven. You don&rsquo;t wait for perfection. You iterate fast. You love building things that last and analyse and fix root cause problems over applying patches.</li><li>
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.</li><li>
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.</li><li>
You have strong foundations in 3D geometry, linear algebra, probability, estimation theory, optimization, filtering, and real-time robotics systems.</li><li>
You are strong in C++, Python or Rust and comfortable writing production-quality software for Linux-based robotic systems.</li><li>
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.</li><li>
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.</li><li>
You care about metrics, logs, reproducibility, and systematic validation. You don&rsquo;t just make a demo work once; you build the tools to know when it works, when it fails, and why.</li><li>
You speak fluent English; German is a plus. Given the nature of SE3&rsquo;s work in the defence sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security clearance.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Especially Valued Bonus Skills</h2><ul><li>
Experience deploying perception systems on Nvidia Jetson, embedded CPUs/GPUs, writing CUDA kernels, optimizing deep neural networks for edge deployment.</li><li>
Experience with LWIR thermal cameras (for navigation), rolling shutter effects, visual-inertial calibration, multi-camera rigs, fisheye/wide-angle lenses or monocular depth.</li><li>
Experience with GNSS-denied navigation in UAV context, terrain-relative navigation, map-based localization and re-localization.</li><li>
Experience building evaluation datasets, replay systems, perception observability, log tooling, and automated regression pipelines.</li><li>
Publications or open-source contributions in SLAM, VIO, 3D computer vision, state estimation, or robotics are welcome, but not required.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Perks &amp; Benefits</h2><ul><li>
Real Ownership: Get equity early, real stock options to participate directly in SE3&rsquo;s growth</li><li>
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</li><li>
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</li><li>
31 Paid Days Off: 30 vacation days plus your birthday off</li><li>
Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass</li><li>
Team Offsites: We go on 2 company retreats per year, our last ones were in Italy and Greece</li><li>
Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth</li></ul><div> 
</div><h2 class="jobSectionHeader">
Our Process</h2><ul><li>
Intro Call (20 min): Let&rsquo;s get to know each other
</li><li>Coding / Algorithm Interview: (90 min): We work through a practical perception, estimation, or robotics software problem together
</li><li>Technical Interview (1 hr): We dive into your experience with perception, state estimation, SLAM/VIO, robotics, and real-world debugging</li><li>
Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides.</li></ul></div>

Senior Perception Engineer - VIO / SLAM / Sensor Fusion

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)

Explore 138+ Computer vision engineer in Munich this July. Find roles across top companies and apply now to boost your career.