senior software engineer robotic applications

Brainlab

<div><b>Company Description</b><p><br>
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.</p><b><br>
Job Description</b><p><br>
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.</p><p>
As an Applications Software Engineer, you will:</p><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><p></p><b><br>
Qualifications</b><br>
<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><br>
<b>
Additional Information</b><br>
<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><p>
Ready to apply? We look forward to receiving your online application including your first available start date and desired salary.</p><p>
Contact person: Ayline F&ouml;ll</p></div>

(Senior) Software Engineer - Robotic Applications

NEURA Robotics

<div><p>In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive&mdash;ranging from object recognition and language processing to decision-making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting-edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human-machine interaction, the AI Department is the perfect place for you.</p><p><br>
Be part of the operational backbone of RoboGym&mdash; from data quality and team leadership to AI collaboration and customer engagement.</p><p><br>
As Data Operater, you are a link between our teleoperation teams, AI engineers, and customers. You ensure that robotic data collection runs with precision and purpose &mdash; building the processes, people, and partnerships that make high-quality training data possible at scale.</p><div><br>
Your mission &amp; challenges<br>
Operations &amp; data quality<br>
<ul><li>Own the full lifecycle of teleoperation sessions &mdash; setup, execution, monitoring, and post-session review for Neura&rsquo;s full range of robotic systems (4NE1, MiPA, LARA, MAiRA)</li><li>Define and enforce operational standards, data collection protocols, and quality benchmarks for AI training datasets, driving continuous improvement to maximize data reliability and consistency. Establish documentation and testing protocols.</li></ul>
Team leadership &amp; training<br>
<ul><li>Lead, mentor, and develop the teleoperators team &mdash; setting clear expectations, fostering skill growth, and building a high-performance culture. Design, own, and continuously improve the training curriculum for teleoperations staff.</li><li>Onboard new team members and ensure consistent capability levels across the team.</li><li>Act as the primary escalation point and advisor for operational decisions as well as robotics hardware and software issues within the teleoperations function</li></ul>
AI engineering collaboration<br>
<ul><li>Partner closely with AI engineers to understand model requirements and translate them into concrete data collection strategies</li><li>Provide operational feedback loops that inform AI team decisions on data design and collection prioritization</li><li>Participate in cross-functional reviews to align teleoperation output with evolving AI roadmap needs</li></ul><br>
Customer &amp; use case interface<br>
<ul><li>Serve as a key customer-facing representative for teleoperation use cases</li><li>Translate customer use cases into operational and data requirements for internal teams</li><li>Support customer showcases and demonstrations, ensuring seamless and reliable robotic performance</li></ul></div><div><br>
What we can look forward to<br>
<ul><li>Degree in Robotics, Computer Science, AI, Engineering, or equivalent experience in a technical operations role</li><li>Hands-on experience with robotic systems, teleoperation platforms, sensors, or manipulation hardware; familiarity with ROS is a plus</li><li>Understanding of AI/ML workflows, training data requirements, and how operational data quality impacts model outcomes</li><li>Proven ability to lead and develop technical teams; experience designing training programs or onboarding curricula</li><li>Structured and process-oriented, yet adaptable in fast-paced environments; genuine enthusiasm for robotics and AI</li><li>Strong communicator in English (German is optional but welcome), comfortable presenting to both technical and non-technical stakeholders, including customers</li></ul></div></div>

Data/Robot Operator (Teleops)(human)

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

Teamlead AI Engineering - RoboGym (human)

Autonomous Teaming Solutions

<div><h4 class="jobSectionHeader"><b>What we offer</b></h4><p></p><ul><li>
Work in an international, agile team creating the future of autonomous systems</li><li>
Grow your career in a expanding and ambitious engineering team</li><li>
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy</li><li>
Benefit from a steep learning curve and continuous development</li><li>
Enjoy team events and a strong, collaborative culture</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p></p><div>
Build real autonomous systems that operate in the real world, not in the lab.</div><div><br>
Join our engineering team and help build the core autonomy that powers our next generation robotic systems used for defense and mission-critical operations. You will design, implement, and harden robotic software that must perform under real operational conditions : outdoors, under uncertainty, with real consequences. Your work will directly shape the reliability, safety, and tactical capability of the systems we deliver.</div><div>
</div><div>
You will contribute to the development and integration of core robotic capabilities, including:</div><br>
<ul><li>
Designing and implementing robust, real-time robotics software components</li><li>
Working with multi-modal sensor data, ensuring timing, synchronization, and frame correctness</li><li>
Developing and improving algorithms in areas such as estimation, perception, planning, control, or integration</li><li>
Ensuring deterministic behavior, reliability, and system-level stability</li><li>
Debugging and validating robotic systems during field tests, under real-world constraints</li><li>
Collaborating with a cross-functional team of robotics, embedded, and domain experts</li><li>
Maintaining high engineering standards: code reviews, CI, reproducible builds, documentation</li></ul>
You will execute on real hardware and iterate based on operational performance, field results are the final metric.<p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><p><i>
Technical Fundamentals :</i></p><ul><li><div>
Strong proficiency in modern C++ (17/20)</div></li><li><div>
Experience with ROS/ ROS 2</div></li><li><div>
Solid foundation in algorithms, data structures, and numerical methods</div></li><li><div>
Experience developing software that runs on real robots, embedded systems, or hardware-in-the-loop setups</div></li><li><div>
Comfortable working with raw sensor data (timing, noise characteristics, transforms, calibration)</div></li><li><div>
Strong debugging skills: runtime issues, latency, performance bottlenecks, integration failures</div></li><li><div>
Ability to architect clean, modular, maintainable software systems</div></li></ul><p><i>
R</i><i>obotics Foundation :</i></p><ul><li><div>
Understanding of at least one robotics domain: state estimation, perception, tracking, planning, control, sensor fusion, or integration</div></li><li><div>
Ability to reason about real-time behavior, latency budgets, and reliability requirements</div></li><li><div>
End-to-end thinking: understanding how individual modules affect the whole system</div></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Nice to have</b></h4><p></p><ul><li>
Python for tooling or prototyping</li><li>
Experience with robotics middleware or real-time systems</li><li>
Background in optimization, filtering, or physical modeling</li><li>
Experience with embedded platforms, GPUs, or simulation tools</li><li>
We hire for core engineering ability, everything else can be learned here.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What else</b></h4><p></p><ul><li><div>
Builder mentality: you ship working solutions, not theoretical concepts</div></li><li><div>
Hands-on ownership: you proactively solve problems, even outside your direct scope</div></li><li><div>
Field-driven mindset: you care about what survives real operations, not &ldquo;lab perfect&rdquo;</div></li><li><div>
High quality bar: you aim for reliability, determinism, and clarity in your engineering</div></li><li><div>
Startup drive: you execute fast despite ambiguity, and adapt quickly</div></li><li><div>
Mission alignment: genuine motivation to work on defense-relevant, safety-critical robotics</div></li><li><div>
Nationality of a NATO member nation or close ally is required</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p></p><p>
The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.</p><p><b><br>
Who we are: </b>Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.</p><p><b><br>
What we do:</b> We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale &mdash; including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.</p><p><b><br>
How we work: </b>We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust &mdash; with a shared commitment to growing and building together.</p><p><b><br>
Where we are:</b> Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.</p></div><p></p>

Robotics Software Engineer - Generalist (mid-level)

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

AI Software Engineer (f/m/d)

SciPro

<div>
 <p>
  Senior Software Engineer
 </p>
 <p>
  We are seeking a Senior Software Engineer to join a cross-functional R&amp;D team developing high-performance software for advanced visualization and imaging platforms. The role involves designing, developing, and maintaining application software using modern C++, with a focus on performance, reliability, and user experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Design, develop, and maintain application software using modern C++ (C++17 or newer)
  </li>
  <li>
   Develop user interfaces using Qt and QML
  </li>
  <li>
   Build and maintain automated tests using tools such as Squish
  </li>
  <li>
   Collaborate with hardware, systems, and product teams in an Agile Scrum environment
  </li>
  <li>
   Participate in sprint planning, reviews, retrospectives, and daily stand-ups
  </li>
  <li>
   Contribute to CI/CD pipelines and software delivery processes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   Strong experience with modern C++ software development
  </li>
  <li>
   Experience with Linux-based systems
  </li>
  <li>
   Proficiency with Git and CI/CD workflows
  </li>
  <li>
   Experience with Qt/QML development
  </li>
  <li>
   Strong understanding of software architecture, testing, and debugging
  </li>
  <li>
   Ability to work effectively within distributed, cross-functional teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   Experience with AI-assisted software development tools
  </li>
  <li>
   Knowledge of video streaming, image processing, or multimedia pipelines
  </li>
  <li>
   Experience with NVIDIA GPU technologies and CUDA development
  </li>
  <li>
   Python programming skills
  </li>
  <li>
   Experience in regulated or safety-critical industries
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Software Engineer

Agile Robots SE

<div>
 <p>
  <strong>
   The AI Research Division of Agile Robots
  </strong>
  is looking for an
  <strong>
   ML Platform Engineer (m/f/d)
  </strong>
  , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Training Infrastructure:
   </strong>
   Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes.
  </li>
  <li>
   <strong>
    ML Platform:
   </strong>
   Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
  </li>
  <li>
   <strong>
    CI/CD Pipelines:
   </strong>
   Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
  </li>
  <li>
   <strong>
    Lifecycle Management:
   </strong>
   Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
  </li>
  <li>
   <strong>
    Cross-Team Collaboration:
   </strong>
   Work with research, data, and robotics teams to connect new models to robust production systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Background and Experience:
   </strong>
   Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
  </li>
  <li>
   <strong>
    Distributed Training:
   </strong>
   Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
  </li>
  <li>
   <strong>
    CI/CD For ML:
   </strong>
   Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
  </li>
  <li>
   <strong>
    Cloud Infrastructure:
   </strong>
   Experience operating ML workloads on cloud infrastructure, preferably AWS.
  </li>
  <li>
   <strong>
    Experiment Tracking:
   </strong>
   Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
  </li>
  <li>
   <strong>
    Software Engineering:
   </strong>
   Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Beneficial Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Multimodal Systems:
   </strong>
   Experience with large-scale or multimodal ML systems such as vision-language-action models.
  </li>
  <li>
   <strong>
    Infrastructure As Code:
   </strong>
   Familiarity with infrastructure-as-code tools such as Terraform.
  </li>
  <li>
   <strong>
    ML Orchestration:
   </strong>
   Experience with ML pipeline and orchestration tools.
  </li>
  <li>
   <strong>
    Distributed Compute:
   </strong>
   Exposure to high-performance or distributed compute environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer
  </strong>
 </p>
 <ul>
  <li>
   Dynamic high-tech company combined with financial soundness and world class investors.
  </li>
  <li>
   Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
  </li>
  <li>
   Lots of development opportunities in the context of our continued growth.
  </li>
  <li>
   Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
  </li>
  <li>
   Corporate Benefits Program that covers health, mobility and learning with 100 &euro; net per month.
  </li>
  <li>
   Modern office facilites with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Agile Robots SE
  </strong>
  is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
 </p>
 <p>
  We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 </p>
</div>


ML Platform Engineer (m/f/d)

Explore 94+ Senior software engineer robotic applications in Munich this July. Find roles across top companies and apply now to boost your career.