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(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

senior software engineer f m x

Marvel Fusion

<div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2>
<div>
<p>Founded in 2019, Marvel Fusion is Europe's leading fusion energy company, uniting 75 scientists, engineers, and entrepreneurs across our locations in Munich and Colorado.</p>
<p>
Backed by over &euro;385 million in public and private funding, we're driven by a shared mission: to deliver clean, abundant energy to the world.</p>
</div>
<h2 class="jobSectionHeader"><b>Why Marvel Fusion</b></h2>
<p>
By joining us, you will be:</p>
<ul>
<li>Solving one of the most complex technological challenges known to humanity, harnessing Fusion on Earth</li>
<li>Part of a highly purpose-driven team working on providing the world with clean, safe and abundant energy</li>
<li>Working alongside world-leading scientists and entrepreneurs in the field of Fusion</li>
<li>Part of a start-up where growth on a company and individual level is the default</li>
</ul></div><p>
As a Software Engineer you will develop the software backbone of our laser facility. You will work at the intersection of complex, time-critical hardware and modern software technologies, building robust applications, services and tooling for automated development, testing and deployment. You will collaborate closely with engineers and scientists who develop and operate high power laser systems. Your work will be critical to achieving stable, repeatable and safe laser operation on the path to commercial fusion energy.</p>
<h3 class="jobSectionHeader"><b>
Your responsibilities</b></h3>
<ul><li>Design, develop and maintain software applications and services for laser facility operation, data handling and automation</li>
<li>Build and support CI/CD pipelines, testing frameworks and deployment tooling</li>
<li>Elicit and manage technical requirements together with engineers and scientists</li>
<li>Collaborate on, and continuously improve, the architecture and technology stack</li>
<li>Define and document functional specifications, test plans and acceptance criteria</li>
</ul><h3 class="jobSectionHeader"><b>What you bring</b></h3>
<ul><li>Bachelor's or Master's degree in Computer Science, IT or a related Engineering field</li>
<li>3+ years of hands-on industry experience in software development (backend, systems or application development)</li>
<li>Strong programming skills in languages like C++, Python, Java, C#, Kotlin, Rust or similar</li>
<li>Solid grasp of modern software development practices, processes and tools (CI/CD, Git, automated testing, etc.)</li>
<li>Experience working in a software development team following established practices and processes</li>
<li>Fluent English; German proficiency is welcome</li>
<li>Flexibility, adaptability and a hands-on, can-do attitude</li>
</ul><h3 class="jobSectionHeader"><b>What sets you apart</b></h3>
<ul><li>Experience with development of distributed systems</li>
<li>Experience interfacing software with hardware (PLCs, embedded systems, instrumentation)</li>
<li>Experience with EPICS (epics-controls.org) or other control system frameworks</li>
<li>Experience working with scientific facilities like laser laboratories, accelerators, etc.</li>
<li>Understanding of real-time concepts and industrial interfaces such as EtherCAT, Modbus-TCP, and serial protocols</li>
</ul><h3 class="jobSectionHeader"><b>What we offer</b></h3>
<p>
Our mission is motivation enough for many. But we also support our team with benefits that foster wellbeing and growth:</p>
<ul>
<li>Public transport reimbursement</li>
<li>EGYM Wellpass fitness club access</li>
<li>Complimentary health insurance</li>
<li>Professional development support</li>
<li>Healthy office snacks</li>
</ul>
<p>For more information on how we process your application data, please review our privacy notice.</p></div><p></p>

(Senior) Software Engineer (f/m/x)

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)

<div><h1 class="jobSectionHeader"><b>AI Software Engineer - Internship (f/m/d)</b></h1><div></div><p><b><br>
About Us</b><br>
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.</p><p><b>
Your Role</b><br>
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.</p><p>
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.</p><p>
For interns who deliver, this is the fastest path into a full-time engineering role.</p><p><b>
Your Responsibilities</b></p><ul><li><p>
Build software and AI application features within real customer projects</p></li><li><p>
Work alongside senior engineers to troubleshoot, document, and ship solutions</p></li><li><p>
Support the technical integration of our platform into customer environments</p></li><li><p>
Turn concrete customer requirements into working technical solutions</p></li><li><p>
Learn how production processes, IT infrastructure, and AI products come together</p></li></ul><p><b>
Your Profile</b></p><ul><li><p>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</p></li><li><p>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</p></li><li><p>
An ownership mindset: you take initiative, move fast, and finish what you start</p></li><li><p>
Ideally strong experience in Python, TypeScript and Docker</p></li><li><p>
Fluent in English and ideally in German as well</p></li><li><p>
Based in Munich or willing to relocate for the duration of the internship</p></li></ul><p>
We appreciate your application even if you don't tick all the boxes.</p><p><b>
What We Offer</b></p><ul><li><p>
Real ownership from day one</p></li><li><p>
A fast-track into a full-time role
</p></li><li><p>Direct mentorship from senior engineers and direct access to founders</p></li><li><p>
Hands-on experience onsite with real customers, real production systems, and frontier AI</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><p><br>
Want to build real things at the edge of industrial AI? Apply now.</p></div>

AI Software Engineer - Internship (f/m/d)

osapiens

<div>
 <strong>
  Department:
 </strong>
 osapiens Terra
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 M&uuml;nchen
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
  </li>
  <li>
   Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
  </li>
  <li>
   Work on production systems that process large-scale satellite and geospatial datasets
  </li>
  <li>
   Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
  </li>
  <li>
   Improve model performance, scalability, and robustness across different geographies and datasets
  </li>
  <li>
   Build and optimize data pipelines, tooling, and workflows for efficient ML development
  </li>
  <li>
   Apply modern deep learning and statistical techniques to remote sensing and environmental data
  </li>
  <li>
   Support rapid experimentation while maintaining production reliability
  </li>
  <li>
   Contribute to technical discussions, code reviews, and engineering best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You May Be a Good Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
  </li>
  <li>
   Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
  </li>
  <li>
   Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
  </li>
  <li>
   Feeling comfortable developing, training, and optimizing machine learning models in production environments
  </li>
  <li>
   Communicate clearly and collaborate effectively across technical and non-technical teams
  </li>
  <li>
   Have experience working with large datasets and distributed data processing workflows
  </li>
  <li>
   Work effectively with AI-assisted development and coding tools
  </li>
  <li>
   Are fluent in English (C1+). German skills are a plus
   <br/>
   <br/>
  </li>
 </ul>
 Nice to have
 <br/>
 <br/>
 <ul>
  <li>
   Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
  </li>
  <li>
   Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
  </li>
  <li>
   Familiarity with geospatial data processing libraries and tools
  </li>
  <li>
   Experience deploying ML systems into production environments
  </li>
  <li>
   Understanding of environmental, climate, or sustainability-related use cases
  </li>
  <li>
   Experience translating complex business or regulatory requirements into data-driven solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us for this and more...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to work on meaningful technology with real-world environmental impact
  </li>
  <li>
   A highly technical and collaborative team environment
  </li>
  <li>
   Modern ML infrastructure and large-scale geospatial datasets
  </li>
  <li>
   Ownership and growth opportunities based on your experience and interests
  </li>
  <li>
   Flexible working environment in our Munich office near Sendlinger Tor
  </li>
  <li>
   Competitive compensation and benefits
  </li>
 </ul>
</div>


Machine Learning Engineer (m/f/x) - Geospatial AI

FAST LTA GmbH

<div><h4 class="jobSectionHeader"><b>Kurzinfo</b></h4><p>
Als M&uuml;nchner Technologief&uuml;hrer f&uuml;r Zero-Loss-Storage und Off-Cloud-Appliances entwickelt FAST LTA hochsichere, vollst&auml;ndig lokale Infrastrukturl&ouml;sungen f&uuml;r anspruchsvolle Rechenzentrumsumgebungen. <b>100</b><b> </b><b>% local, 100</b><b> </b><b>% secure, 100</b><b> </b><b>% yours.</b><br>
<br>
 Mit Silent AI gehen wir den n&auml;chsten Schritt: eine datenschutzkonforme Enterprise-KI-Appliance, die komplett on-premise auf dedizierter Hardware betrieben wird &ndash; ohne Cloud-Abh&auml;ngigkeit, ohne Kompromisse bei Sicherheit und Datensouver&auml;nit&auml;t. Entwickelt f&uuml;r Unternehmen und Organisationen mit hohen Sicherheitsanforderungen.<br>
<br>
F&uuml;r unser Team <b>in M&uuml;nche</b>n suchen wir ab sofort einen Senior Full Stack Engineer &ndash; AI &amp; Backend Systems (m/w/x) <b>in Vollzeit</b>, der/die gemeinsam mit uns unser Produkt weiterentwickelt.</p><h4 class="jobSectionHeader"><b><br>
Das sind deine Aufgaben:</b></h4><p></p><ul><li><b>
Design und Implementierung einer versionierten Public REST-API (v1)</b> inkl. Authentifizierungskonzept (API Keys, OAuth2), Rate Limiting und standardisierter Fehlerformate nach OpenAPI 3 / SemVer</li><li><b>
Ausbau des agentic LLM-Frameworks</b> (LangGraph / LlamaIndex) mit Safety Guardrails, Multi-Step Retrieval, Tool Use und Observability</li><li><b>
Erweiterung modularer Datenkonnektore</b>n (MS Graph, SharePoint, Confluence, Slack u. a.) nach einheitlichem Architektur-Standard</li><li><b>
Performance-Optimierung</b> von Datenbankabfragen, Vektor-Store-Abstraktionen und asynchronen Datenlast-Pipelines (Celery)</li><li><b>
End-to-End-Implementierung neuer Features</b> &uuml;ber Backend-API und TypeScript-Frontend &ndash; inklusive Code Reviews, Coding Guidelines und technischer Dokumentation</li><li><b>
Fachliche Lead-Verantwortung f&uuml;r Subsysteme</b> (z. B. Public API, Konnektoren): eigenst&auml;ndiges Arbeiten auf Epic-Ebene von der Anforderungsanalyse bis zum produktiven Release sowie aktive Mitgestaltung von Architekturentscheidungen und Codequalit&auml;ts-Standards</li></ul><p></p><h4 class="jobSectionHeader"><b>
Das bringst du mit:</b></h4><p></p><ul><li>
Idealerweise <b>10 oder mehr Jahre Erfahrung</b> in der Softwareentwicklung und ein abgeschlossenes Studium der Informatik oder eines verwandten Fachs (kein Muss)</li><li><b>
Sehr gute Python-Kenntnisse</b> (FastAPI, async/await, Dependency Injection, pytest) sowie fundiertes Linux- und Docker-Know-how (Microservices, Netzwerk-Isolation)</li><li><b>
Praxiserprobtes API-Design</b>: REST, OpenAPI/Swagger, Versionierungsstrategien und standardisierte Fehlerbehandlung &ndash; sowie Auth-Protokolle (OIDC, OAuth2, JWT) aus produktivem Einsatz</li><li><b>
Frontend-Erfahrung mit modernem TypeScript</b> (SvelteKit, React oder Vue), relationales Datenbankdesign/-optimierung mit PostgreSQL sowie eine eigenst&auml;ndige, strukturierte Arbeitsweise</li><li>
Erfahrung mit LLMs, RAG-Systemen oder AI-Infrastruktur (vLLM, LangChain, Vektordatenbanken), asynchronen Task-Queues (Celery, Redis) sowie Monitoring &amp; Observability (Prometheus, Grafana) sind ein Plus, aber kein Muss</li><li>
Flie&szlig;ende Deutschkenntnisse auf muttersprachlichem Niveau sowie verhandlungssicheres Englisch</li></ul><p></p><h4 class="jobSectionHeader"><b>
Das bieten wir:</b></h4><p></p><ul><li><b>
Attraktives Gehalt</b> + betriebliche Altersvorsorge mit 30 % Arbeitgeberzuschuss (ETF-basiert)</li><li><b>
Flexibles Arbeiten</b> - Gleitzeit und Home-Office Option nach der Einarbeitung</li><li><b>
Echtes Team</b> - kurze Wege, wertsch&auml;tzende Kultur, regelm&auml;&szlig;ige Events (Wiesn, Weihnachtsfeier, Afterwork)</li><li><b>
EGYM Wellpass</b> - Yoga, Pilates, Lauftraining im Park mit externem Coach</li><li><b>
JobRad </b>+ kostenlose Parkpl&auml;tze</li><li><b>
Familienfreundlich</b> - Zusch&uuml;sse zu Geburt und Kinderbetreuung</li><li>
Frisches Obst und Getr&auml;nke im B&uuml;ro</li></ul><p></p><h4 class="jobSectionHeader"><b>
Ansprechpartner*in</b></h4><p></p><h2 class="jobSectionHeader">
Deine Ansprechpartnerin: <b>Catana Dispan</b></h2><h2 class="jobSectionHeader"><b>
Lust, die Zukunft lokal zu machen?</b></h2>
Schick uns deine Bewerbung &uuml;ber das Bewerbungsformular &ndash; wir melden uns kurzfristig.<br>
<br>
<b>FAST LTA</b> steht f&uuml;r Chancengleichheit. Bewerbungen <b>aller Hintergr&uuml;nde</b> sind willkommen.<p></p><h4 class="jobSectionHeader"><b>
&Uuml;ber uns</b></h4><p></p><h1 class="jobSectionHeader"><b>
Hallo.</b></h1>
wir sind die FAST LTA GmbH aus M&uuml;nchen und wir entwickeln und vermarkten Technologien sowie Produkte zur sicheren Langzeitspeicherung digitaler Daten. Wir sind Marktf&uuml;hrer in Deutschland f&uuml;r revisionssicheren Speicher f&uuml;r Krankenh&auml;user und &ouml;ffentliche Verwaltungen. Zu unseren Kunden z&auml;hlen namhafte Unternehmen aus der Industrie.</div><p></p>

Senior Full Stack Engineer (w/m/x) – AI & Backend Systems

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)

ARX Robotics GmbH

<div><div><h2 class="jobSectionHeader"><b>About the Role</b></h2>
</div>
<div></div><div><p>As a Field Robotics Software &amp; Communications Engineer (m/f/d), you are the crucial link between our advanced robotics and the real world. You will be the on-site software and communications expert during military exercises, customer demonstrations, and complex integration projects, ensuring our autonomous systems perform flawlessly under the most demanding conditions.</p>
<p>
This role is for a hands-on problem-solver who thrives at the intersection of software, networking, and hardware. You will configure controllers, master tactical communication links, and troubleshoot complex systems directly in the field. Your work ensures our platforms stay connected, intelligent, and mission-ready when it matters most.</p>
</div>
<div><h2 class="jobSectionHeader"><b>What You'll Build</b></h2>
</div><ul><li>Deploy, configure, and validate our robotic platforms at customer sites and during live field exercises.</li>
<li>Master our diverse communication stack, from tactical radios and satellite terminals to secure LTE/5G networks.</li>
<li>Configure mission software and control interfaces to ensure stable and reliable field operations.</li>
<li>Integrate cutting-edge sensors, payloads, and third-party systems using modern APIs and SDKs.</li>
<li>Become the go-to expert for diagnosing and resolving complex software and networking issues under operational pressure.</li>
<li>Empower end-users by providing expert on-site training, scenario support, and technical assistance.</li>
<li>Translate field learnings into actionable feedback for our engineering teams, directly shaping the future of our products.</li>
</ul><div><h2 class="jobSectionHeader"><b>What You Bring</b></h2>
</div><ul><li>A strong technical background in computer science, robotics, or engineering, gained through a degree or equivalent hands-on experience.</li>
<li>Deep knowledge of software and communication systems, ideally applied to robotics or unmanned platforms.</li>
<li>Hands-on experience with embedded Linux, networking fundamentals (TCP/UDP, routing), and scripting (C++/Python).</li>
<li>Practical experience with advanced communication hardware, such as tactical radios, LTE/5G modems, or satellite systems.</li>
<li>The ability to troubleshoot complex, system-level issues that span software, communications, and hardware.</li>
<li>A proactive, hands-on mindset and a genuine passion for solving operational problems in the field.</li>
<li>Clear communication skills in English; proficiency in German is a plus.</li>
<li>Willingness to travel frequently to support missions across Germany and the EU - ideally based in or around Munich.</li>
</ul>
<p></p> <h2 class="jobSectionHeader"><b>Nice To Have</b></h2>
<p></p>
<ul><li>Experience with defense communication systems or mesh networking (MANET).</li>
<li>Knowledge of cybersecurity principles for communication and unmanned systems.</li>
<li>Familiarity with deploying software updates in mobile or field environments.</li>
<li>An understanding of ruggedized hardware and outdoor operational constraints</li>
</ul>
<p>Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.</p>
<h2 class="jobSectionHeader"><b>
 What We Offer</b></h2>
<p>
Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business!</p>
<ul>
<li>Competitive compensation package including a bonus opportunity</li>
<li>27 vacation days to start, increasing with tenure up to 30 days</li>
<li>Employer-supported pension contribution</li>
<li>Learning &amp; development support and team events budget</li>
<li>Employee discounts and flexible benefits budget via Probonio</li>
<li>Hybrid working setup depending on role and team needs</li>
<li>Structured salary bands, levelling framework, and bi-annual development conversations</li>
<li>Referral bonus program, dog-friendly office, and relocation support where applicable</li></ul><p></p><div><h2 class="jobSectionHeader"><b><br>
About Us</b></h2>
<p>
ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations.<br>
<br>
As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture.<br>
<br>
If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology!<br>
<br>
ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.</p>
<p>
You can find ARX Robotics Applicant Privacy Policy here.</p></div></div>

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

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