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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)

NEURA Robotics

<div>Your mission &amp; challenges<ul><li>
Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection</li><li>
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation</li><li>
Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved</li><li>
Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists</li><li>
Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed</li><li>
Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap</li></ul>
What we can look forward to<ul><li>
Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering or related field</li><li>
3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest</li><li>
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow 
Comfortable working directly with real robot hardware and associated middleware</li><li>
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus</li><li>
Proven problem-solving abilities and ability to handle multiple projects in parallel</li><li>
Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)</li></ul></div>

Robotic Foundation Model Engineer – RoboGym (Human)

<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)

Capmont

<div>
 Search
 
 
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 Explore
 
 
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 Join talent network
 
 
 Talent
 
 
 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 Your Role
 
 
 
 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 "Kosmos" 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.
 
 
 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.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
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 Direct software and AI application development within customer projects
 </li>
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 Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
 </li>
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 Support technical integration of our platform into customer IT landscapes
 </li>
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 Learn how production processes, IT infrastructure and AI products intersect
 </li>
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 Translate customer requirements into technical solutions and specifications
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Information Systems, or similar
 </li>
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 0 to 4 years professional experience or internships in software engineering or similar
 </li>
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 Hands-on experience through projects, ventures, or product development
 </li>
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 Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
 </li>
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 Business-fluent in German and English
 </li>
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 Based in Munich or willing to relocate, ready to go all-in with us
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
 </li>
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 Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
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 Top-of-market compensation with equity package
 </li>
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 Develop a best-in-class network (funding, industry, and talent) in Europe and the US
 </li>
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 A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
 
 
 </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

BMW Group

<div>
 
 Innovation Is Imagining What No One Else Can.
 
 
 
 At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
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 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
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 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
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 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
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 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
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 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
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 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note
 
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
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 Attractive, fair and performance-related remuneration.
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 High level of job security.
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 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
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 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
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 Discounted BMW &amp; MINI conditions.
 </li>
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 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

<div><h3 class="jobSectionHeader">Deine Mission &amp; Herausforderungen</h3><ul><li>
Bau, f&uuml;hre und entwickle ein leistungsstarkes Team von Robotic Foundation Model Application Engineers und unterst&uuml;tze sie sowohl in ihrer technischen Weiterentwicklung als auch im t&auml;glichen Arbeiten</li><li>
&Uuml;bernimm die technische Leitung und sei die zentrale Ansprechperson f&uuml;r NeuraGym-User, bewerte Machbarkeit, w&auml;hle passende Algorithmen aus und definiere Datenstrategien</li><li>
Steuere den gesamten Onboarding-Prozess f&uuml;r NeuraGym-User &uuml;ber die komplette Pipeline hinweg, inklusive Teleoperation, Annotation, Training, Simulation, Deployment und Validierung</li><li>
Arbeite eng mit den Robotics Engineers vor Ort zusammen bei Datenerfassung und Experimenten, damit Robotik-Verhalten, Sicherheitsstandards und Experimentqualit&auml;t stimmen</li><li>
Pack selbst mit an, wenn technische Blocker auftreten, z. B. beim Review von Trainingscode, bei der Analyse von Datenproblemen oder beim Reproduzieren von Modellfehlern</li><li>
Sei die zentrale Schnittstelle zu Cloud- und AI-Teams und sorge f&uuml;r reibungslose bereichs&uuml;bergreifende Zusammenarbeit</li><li>
Sammle Erkenntnisse aus allen Projekten und &uuml;bertrage sie in Verbesserungen f&uuml;r die NeuraGym Product Roadmap sowie die zentrale Neura AI Roadmap</li><li>
Definiere, tracke und verbessere wichtige Team-Kennzahlen wie Skill-Success-Rate, Time-to-Validated-Skill und Data-Efficiency</li></ul><h3 class="jobSectionHeader">
Worauf wir uns freuen</h3><ul><li>
Master oder PhD in Informatik, Robotik, Elektrotechnik oder einem verwandten Bereich</li><li>
5+ Jahre praktische Erfahrung im Machine Learning in der Robotik, mit starker Expertise in mindestens zwei Bereichen wie vision-basierter Manipulation, Reinforcement-/Imitation Learning oder multimodalen Foundation Models</li><li>
Mindestens 2+ Jahre Erfahrung in Mitarbeiterf&uuml;hrung oder formaler technischer Leitung (z. B. Tech Lead, Staff Engineer oder Team Lead mit direkten Reports)</li><li>
Sehr gute Python-Kenntnisse (C++ ist ein Plus) sowie praktische Erfahrung mit PyTorch oder TensorFlow</li><li>
Erfahrung im direkten Arbeiten mit echter Roboterhardware und zugeh&ouml;riger Middleware</li><li>
Erfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie Robotik-Simulationstools (z. B. IsaacSim, MuJoCo) ist ein Plus</li><li>
Nachweisbare Erfahrung in der Umsetzung komplexer, mehrmonatiger Robotikprojekte mit messbaren Ergebnissen</li><li>
Starke Kommunikationsf&auml;higkeiten, um zwischen Forschern, Ingenieuren und Endnutzern zu &uuml;bersetzen; sehr gutes Englisch und Deutsch (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (Mensch)

driveblocks

<div><h4 class="jobSectionHeader">Your Role</h4>
As an Expert Perception Data Engineer you scale the data workflows that power the next-generation of off-road autonomy systems. You own the full data lifecycle from ingestion and curation to automated scenario mining, dataset generation, embeddings-based retrieval, and validation workflows. 
 
In this hands-on engineering role, your designs and implementations have a critical impact on enabling the robust and safe performance of our software in challenging off-road conditions. Your main tasks are: 
<ul><li>
Designing and scaling large-scale perception data pipelines for terabytes of incoming multimodal sensor data.</li><li>
Developing automated dataset curation and scenario mining systems for edge cases and safety-critical situations.</li><li>
Building embeddings-based retrieval and semantic search pipelines for perception data selection and analysis.</li><li>
Maintain tooling for dataset versioning, metadata management, annotation orchestration, and quality assurance to meet certification requirements.</li><li>
Improving infrastructure for high-throughput data processing, cloud-native workflows, and distributed compute pipelines.</li><li>
Driving automation around data operations, labeling processes, and deployment feedback loops from field operations.</li></ul><h4 class="jobSectionHeader">
Your Background</h4><ul><li>
6+ years of professional experience building large-scale data processing systems for machine learning or robotics applications</li><li>
Strong software engineering skills in Python and/or C++</li><li>
Experience working with multimodal sensor data such as camera, lidar, and radar</li><li>
Familiarity with dataset management tooling, embeddings, vector databases, semantic retrieval, and similarity search systems</li><li>
Strong ownership mindset and the ability to work independently in a fast-moving engineering environment</li><li>
Strong communication skills and the ability to explain complex technical topics clearly across engineering and customer-facing teams</li><li>
Degree in computer science, robotics, engineering or a related field(Bachelor, Master, or PhD)</li></ul>
We understand that not everyone will meet all the criteria! If you see yourself in these points, we&rsquo;d love to learn more about you!<h4 class="jobSectionHeader">
About Us</h4>
driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments. 
 
Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems. 
 
From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we&rsquo;d love to hear from you!<h4 class="jobSectionHeader"> 
Working at driveblocks</h4><ul><li>
Ownership of your work &ndash; Take responsibility for the full value chain</li><li>
Competitive Compensation &amp; Benefits</li><li>
Participate in driveblocks&rsquo; success via a Virtual Stock Option Plan</li><li>
Flexible working hours</li></ul><h4 class="jobSectionHeader">
How To Apply</h4><ul><li>
Upload your CV and additional documents</li><li>
Show your unique motivation</li></ul></div>

Expert Perception Data Engineer (m/f/d)

Explore 23+ Computer vision engineer in Munich this July. Find roles across top companies and apply now to boost your career.