(senior) ai & generative ai engineer (all genders)

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director, it engineering - end user support

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(senior) ai & generative ai engineer (all genders) Jobs in Munich

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

(senior) software engineer (all genders) Jobs in Munich

(senior) software engineer (all genders)

senior software engineer robotic applications

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)

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>
 <li>
 Direct software and AI application development within customer projects
 </li>
 <li>
 Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
 </li>
 <li>
 Support technical integration of our platform into customer IT landscapes
 </li>
 <li>
 Learn how production processes, IT infrastructure and AI products intersect
 </li>
 <li>
 Translate customer requirements into technical solutions and specifications
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Information Systems, or similar
 </li>
 <li>
 0 to 4 years professional experience or internships in software engineering or similar
 </li>
 <li>
 Hands-on experience through projects, ventures, or product development
 </li>
 <li>
 Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
 </li>
 <li>
 Business-fluent in German and English
 </li>
 <li>
 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>
 <li>
 Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
 </li>
 <li>
 Top-of-market compensation with equity package
 </li>
 <li>
 Develop a best-in-class network (funding, industry, and talent) in Europe and the US
 </li>
 <li>
 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)

<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)

Navflex

<div>Non‑negotiables for this role<ul><li>
3+ years hands-on programming of SICK safety controllers using SICK Safety Designer (professional, production use).</li><li>
Electrical Engineering background with strong hands-on commissioning / troubleshooting on real vehicles.</li><li>
Confident Python programming and ability to read and debug existing Python code (integration of safety system with application logic).</li></ul><h1 class="jobSectionHeader">
About Navflex</h1>
Navflex builds autonomous mobile robots (AMRs) that operate in real warehouse and dock environments where safety, uptime, and reliability are mission-critical. Our robots must perform safely around people, forklifts, and mixed traffic while delivering measurable efficiency improvements for customers.<h1 class="jobSectionHeader">
Role Overview</h1>
As our Senior Functional Safety &amp; Safety Controls Engineer, you will own the end-to-end safety implementation on our mobile robotic platforms &mdash; from safety concept and risk assessment through hands-on implementation in SICK safety controllers and validation on the vehicle. You will work on the robot every day, iterate quickly, and ensure our safety behavior remains correct as platforms, sensors, and use cases evolve.
This role is highly hands-on and combines functional safety engineering with real-world safety controller programming and software integration. You will collaborate closely with robotics software (navigation/perception/control), electrical and mechanical engineering, and field operations to deliver safety solutions that scale across platforms and deployments.<h1 class="jobSectionHeader">
What You Will Own</h1><ul><li>
Safety controller architecture and implementation across Navflex AMR/AGV platforms, with a strong focus on SICK safety controllers.</li><li>
Day-to-day development, commissioning, troubleshooting, and versioned configuration management of SICK Safety Designer projects.</li><li>
Safety integration points between the safety controller and the robot application stack (status, modes, field switching, diagnostics), including Python-based tooling/software components.</li><li>
Safety verification and validation on the vehicle, including test planning, execution, evidence capture, and documentation maintenance.</li><li>
Support for certifications, audits, and customer/site acceptance related to machinery safety and mobile robot standards (e.g., ISO 3691-4, ISO 13849).</li></ul><h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
Safety concept, risk assessment, and requirements</h2><ul><li>
Lead and continuously maintain risk assessments for our vehicles and operating modes (e.g., autonomous, manual, service/maintenance) and derive safety requirements and safety functions.</li><li>
Translate safety requirements into an implementable safety concept and safety controller design, including safety I/O definitions, sensor coverage strategy, and safe-state behavior.</li><li>
Define required Performance Levels (PLr) / SIL targets for safety functions and maintain traceability from hazards safety requirements implementation verification evidence.</li></ul><h2 class="jobSectionHeader">
SICK safety controller programming (SICK Safety Designer)</h2><ul><li>
Design, implement, and maintain safety logic in SICK safety controllers using SICK Safety Designer, including diagnostics and safe-state handling.</li><li>
Commission and troubleshoot safety systems on real robots: wiring verification, signal integrity, scanner/encoder configuration, safety I/O checks, and fault analysis.</li><li>
Build a maintainable configuration strategy across product variants: reusable modules, clear naming conventions, version control, and release/deployment procedures for safety configurations.</li><li>
Implement and validate common AMR/AGV safety behaviors such as emergency stop, protective stop, speed reduction, safe direction, safe speed monitoring, and field set switching (as applicable to the platform).</li></ul><h2 class="jobSectionHeader">
Vehicle integration and Python-based software interfaces</h2><ul><li>
Own the integration of safety controller status and commands with the robot application stack while preserving correct separation between safety-rated and non-safety functions.</li><li>
Develop and maintain Python-based tooling/modules that interface with the safety controller (e.g., configuration deployment helpers, log collection, diagnostics, automated reports, or integration services).</li><li>
Work with robotics software engineers to pinpoint root causes across the stack (safety controller, sensors, network, application logic) and drive issues to resolution.</li></ul><h2 class="jobSectionHeader">
Verification, validation, and documentation</h2><ul><li>
Create and execute safety verification and validation plans for new features, new platform types, and customer-specific operating domains; document results clearly and reproducibly.</li><li>
Maintain safety documentation throughout the lifecycle: safety concept, risk assessment, safety requirements, verification/validation evidence, change logs, and customer-facing documentation as needed.</li><li>
Support internal design reviews and external assessments (e.g., notified bodies, T&Uuml;V, customer audits) with well-structured technical files and evidence packs.</li></ul><h2 class="jobSectionHeader">
Cross-functional leadership and operations support</h2><ul><li>
Partner with hardware, mechanical, and software engineering to ensure safety is designed-in from early development through production and field deployment.</li><li>
Support early deployments and customer transitions by diagnosing safety-related field issues, recommending design changes, and improving robustness.</li><li>
Contribute to continuous improvement of safety processes (templates, checklists, test automation, change control) so safety scales with fleet growth.</li></ul><h1 class="jobSectionHeader">
Required Qualifications</h1><ul><li>
Bachelor&rsquo;s degree (or higher) in Electrical Engineering or a closely related field.</li><li>
3+ years of substantial, hands-on experience programming SICK safety controllers using SICK Safety Designer (including commissioning and troubleshooting on real machines/vehicles).</li><li>
3+ years of experience implementing functional safety solutions for industrial automation, robotics, or mobile machines; strong familiarity with safety lifecycle thinking (hazard analysis requirements implementation verification).</li><li>
Strong working knowledge of relevant safety standards and methods; ideally ISO 3691-4 for AGVs/AMRs, and/or ISO 13849-1 / IEC 62061.</li><li>
Practical experience with safety sensors and safety circuits (e-stops, safety laser scanners, safety encoders, safety I/O, interlocks).</li><li>
Confident Python programming skills and ability to read/debug production Python code in a multi-component robotics system.</li><li>
Comfortable working hands-on with hardware in a lab/warehouse environment and iterating quickly based on test results.</li><li>
Fluent English (German is a strong plus).</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Demonstrated experience implementing safety solutions for AGVs/AMRs specifically aligned with ISO 3691-4 (from concept through validation).</li><li>
Experience with PL/SIL calculations and tooling (e.g., SISTEMA) and building safety evidence packs/technical files for CE marking.</li><li>
Knowledge of safe communications / fieldbuses commonly used with safety systems (e.g., CIP Safety, PROFIsafe) and industrial networking fundamentals.</li><li>
Experience working with mobile robot software stacks (e.g., ROS/ROS 2, Linux, networking, log analysis) and collaborating with navigation/perception/control teams.</li><li>
T&Uuml;V Functional Safety certification (or similar) and/or experience working directly with notified bodies and third-party test labs.</li></ul><h1 class="jobSectionHeader">
Tools &amp; Environment</h1><ul><li>
SICK Safety Designer (must-have); experience with Flexi Soft ecosystems is highly relevant.</li><li>
Safety-rated sensors and components (safety laser scanners, safety encoders, safety I/O, safety relays/contactors).</li><li>
Python, Git, and modern engineering workflows (issue tracking, code reviews, CI where applicable).</li><li>
Hands-on vehicle testing and commissioning in a robotics lab / customer-like environments.</li></ul><h1 class="jobSectionHeader">
What Success Looks Like</h1><ul><li>
Safety configurations are reliable, diagnosable, and managed like product software: versioned, reviewable, testable, and deployable.</li><li>
New platform types and customer operating domains can be supported quickly with clear safety requirements, robust implementations, and repeatable validation procedures.</li><li>
Safety-related issues are investigated efficiently across the full stack (sensors safety controller integration application logic), leading to rapid root-cause identification and corrective actions.</li><li>
Documentation and evidence are continuously maintained so audits and certifications are predictable rather than disruptive.</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
A highly hands-on role with real robots, real customer environments, and direct impact on product safety and reliability.</li><li>
High ownership: you will shape how safety engineering is executed and scaled across our platform portfolio.</li><li>
A collaborative, international engineering team with fast iteration cycles and a strong focus on solving real-world logistics problems.</li><li>
Competitive compensation and benefits aligned with market standards for senior engineering roles in Munich.</li></ul><h1 class="jobSectionHeader">
Equal Opportunity</h1>
Navflex is committed to building an inclusive workplace. We evaluate qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status.</div>

Senior Functional Safety Engineer/Safety Systems Engineer

<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)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
A fast-growing, pre-seed-funded energy tech startup based in Munich is looking for a Founding Product Engineer to join its early team. The company builds an enterprise-grade, AI-powered SaaS platform that helps industrial companies strategically manage their energy procurement &mdash; covering everything from consumption forecasting and flexible procurement to flexibility monetisation.
As one of the first engineers on the team, you will have a decisive say in how the product is built, what the tech stack looks like, and how customers experience the platform. This is a high-ownership, high-impact role for a generalist engineer who thrives at the intersection of product, engineering, and customer collaboration.
No visa sponsorship is available for this position.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own the full product lifecycle &mdash; from design and scoping through to deployment and iteration.</li><li>
Translate product objectives into clear, actionable requirements in close collaboration with customers.</li><li>
Design simple, iterative solutions to complex energy procurement and optimisation problems.</li><li>
Develop performant backend services for a data-intensive application.</li><li>
Build intuitive, elegant user interfaces for a complex decision-support system.</li><li>
Train time-series forecasting models for power consumption and renewables production.</li><li>
Develop linear optimisation algorithms aimed at reducing customer energy costs.</li><li>
Help choose and evolve the core tech stack (currently centred on PostgreSQL, TypeScript, React, and Python).</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves:<ul><li>
2+ years of software engineering experience delivering scalable web applications in an early-stage startup environment.</li><li>
Proven track record of delivering full product features independently, in direct collaboration with customers.</li><li>
Strong software engineering fundamentals &mdash; you build things that are robust, maintainable, and scalable.</li><li>
Hands-on experience building backend services for data-intensive applications.</li><li>
Experience building frontend UIs for complex decision-support or analytical tools.</li><li>
A product mindset: you think about user impact, not just code quality.</li><li>
Comfort with ambiguity and a genuine appetite for fast-paced, early-stage environments.</li></ul>
Strongly preferred:<ul><li>
Hands-on experience with time-series forecasting and/or linear optimisation.</li><li>
Familiarity with PostgreSQL, TypeScript, React, and/or Python.</li><li>
Previous experience as a founding engineer, CTO, or technical co-founder at a startup.</li></ul>
Nice to have:<ul><li>
Experience with FastAPI and/or Supabase.</li><li>
Interest in or knowledge of energy markets and energy-intensive industrial operations.</li><li>
Corporate engineering background is acceptable if paired with a demonstrated startup mindset and grit.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: &euro;85,000 &ndash; &euro;140,000 per year, depending on experience.</li><li>
Meaningful early-stage equity participation (details shared during the process).</li><li>
Direct influence over product direction, tech stack, and team culture from day one.</li><li>
Work alongside an experienced founding team in a well-backed, mission-driven company.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is a hybrid role based in Munich, Bavaria, Germany. You are expected to work on-site in Munich the majority of the week, with flexibility for occasional remote days. Fully remote candidates are not suitable for this position.</div>

Founding Product 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)

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