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associate product manager (m/f/d) - sports technology

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associate product manager m f d sports technology

KINEXON Industries

<p></p><div><h3 class="jobSectionHeader"><b>ABOUT KINEXON</b></h3>
<p>
KINEXON Sports is a global leader in cutting-edge tracking and analysis technology designed specifically for professional sports.</p>
<p>
Our innovative solutions power load management, performance monitoring, return-to-play strategies, match analysis, fan engagement, VAR support, and much more. We proudly collaborate with elite sports organizations, from the NBA to the UEFA Champions League, and support federations like FIFA and the HBL with transformative insights.</p>
<h3 class="jobSectionHeader"><b>
YOUR OPPORTUNITY</b></h3>
<p>
At KINEXON Sports, we empower our product teams to tackle complex challenges that matter&mdash;whether they're solving customer pain points or advancing our business objectives. We serve top-end, elite sports teams, an exclusive and demanding market that is difficult to access. To meet their standards, our product range relies on combination of deep tech and full-stack development, making it highly challenging from both a technical and a user perspective.</p>
<p>
Cross-functional and durable, our product teams are at the core of our success, typically consisting of a product manager and a group of talented engineers. We are looking for a highly motivated and dedicated <b>Associate Product Manager</b> who is eager to dive in and understand every single detail of this very complex product ecosystem. Because this role requires highly hands-on interaction with our hardware and software, it is a hybrid position with weekly office presence.</p>
<h3 class="jobSectionHeader"><b>
YOUR TASKS</b></h3>
<p>
As an Associate Product Manager, you'll play a crucial, hands-on role in ensuring the solutions we develop are valuable, user-friendly, and perfectly aligned with the high expectations of our elite sports clients.</p>
<ul>
<li><b>Support Product Leadership:</b> Work closely with and assist a Product Manager in evaluating options, analyzing trade-offs, and making the right strategic and tactical decisions for our complex product range.</li>
<li><b>Master the Details:</b> Immerse yourself in the intricacies of our deep tech and full-stack product range to deeply understand it from both a highly technical and user-facing perspective.</li>
<li><b>Drive Alignment:</b> Support efforts at the intersection of strategy, elite customer needs, and execution, championing customer value and product alignment.</li>
<li><b>Understand the Business:</b> Develop a strong understanding of business constraints across areas such as marketing, sales, customer service, finance, legal, and privacy.</li>
<li><b>Analyze the User Experience:</b> Gain deep insights into our users&mdash;elite athletes, coaches, and sports scientists&mdash;understanding how they interact with our products and the complex data that informs their experiences.</li>
<li><b>Market Research:</b> Stay ahead of industry trends and analyze the competitive landscape to help shape the future of our products.</li>
<li><b>Cross-Functional Execution:</b> Collaborate closely on-site with engineers and senior product leaders to identify and deliver impactful solutions that bring tangible value to our customers.</li>
</ul><h3 class="jobSectionHeader"><b>WHAT WE EXPECT</b></h3>
<p>
This is an individual contributor role where you'll work closely with teammates, stakeholders, and executives. You'll rely on data, logic, and vision to inspire alignment and foster a shared commitment to success. We're looking for Associate Product Managers who:</p>
<ul>
<li><b>Are Relentlessly Curious:</b> Demonstrate strong dedication, a proactive mindset, and a genuine passion for understanding every technical and functional detail of a complex system.</li>
<li><b>Embrace Accountability:</b> Thrive on ownership and are not afraid to take responsibility for specific product domains.</li>
<li><b>Lead Through Influence:</b> Inspire alignment and drive impactful change, even early in your career.</li>
<li><b>Focus on Outcomes:</b> Deliver measurable results, understanding that shipping features is just the beginning.</li>
</ul><h3 class="jobSectionHeader"><b>YOUR QUALIFICATIONS</b></h3>
<ul><li>Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Sports Science, or Business) or equivalent practical experience.</li>
<li>1 to 3 years of experience in technology-driven product roles. <b>We also welcome and encourage applications from former working students with relevant experience.</b></li>
<li>Sports science knowledge (e.g., athletic performance) and the ability to understand how high-volume tracking data transforms into robust, actionable insights.</li>
<li>Strong problem-solving skills, sound judgment, and the ability to craft clear, data-driven narratives.</li>
<li>Early track record of building collaborative and productive relationships with cross-functional teams (e.g., engineering, design, leadership).</li>
</ul><div><div><div><div><h3 class="jobSectionHeader"><b>YOU CAN LOOK FORWARD TO THIS WITH US</b></h3>
<p>
At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.<br>
<br>
Become part of our team and enjoy the following benefits:</p>
<ul>
<li><b>#Freetime</b> 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)</li>
<li><b>#WeCare </b>&ndash; take your time off for the family (parental leave etc.)</li>
<li><b>#WorkingHours</b> &ndash; Early bird or night owl - you can choose your flexible work hours.</li>
<li><b>#FlexibleLocation</b> &ndash; we work with a hybrid and remote model.</li>
<li><b>#OneTeam</b> - We enjoy spending time together at regular team and company events.</li>
<li><b>#OnTop</b> - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more)<br>
</li></ul><p><br>
If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
ABOUT US</b></h3>
<p>
KINEXON is a leader in Physical AI for Manufacturing &amp; Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we're hiring ambitious talent ready to shape the future of physical AI.</p></div></div></div></div></div>

Associate Product Manager (m/f/d) - Sports Technology

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)

AUGENTIC

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  AUGENTIC - Driven by Technology
  <br/>
  <br/>
 </strong>
 AUGENTIC GmbH having its headquarters in Munich, Germany is a globally operating company in the business of digital identities and the related identity management solutions.
 <br/>
 <br/>
 Our projects range from the supply of components all the way through to turnkey solution projects. Using AUGENTIC&rsquo;s competencies and talents our worldwide government customers have a responsible, trustworthy and competent partner for the secure handling of the identity of their citizens.
 <br/>
 <br/>
 Founded by a team of well-known industry experts, AUGENTIC GmbH combines innovative power with many years of expertise enabling customers to benefit from tailor made solutions of exceptional and lasting quality.
 <br/>
 <br/>
 Our talents are a key asset to the company. Therefore, we put great efforts in individual development plans. So, are you interested in shaping the future and make this world a safer place together with us? You can expect exciting, varied tasks with the opportunity to actively shape the further development of the company.
 <br/>
 <br/>
 <strong>
  BE AUGENTIC!
  <br/>
  <br/>
 </strong>
 We are currently looking for a
 <br/>
 <br/>
 <strong>
  DevOps Engineer (m/f/d)
  <br/>
  <br/>
 </strong>
 <strong>
  for our headquarters in Munich:
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview:
  <br/>
  <br/>
 </strong>
 We are looking for an experienced DevOps Engineer to design, implement, and maintain the CI/CD pipelines, infrastructure, and automation processes for our on-premises identity management solutions. The ideal candidate will have extensive experience with on-premises environments, infrastructure as code, and security best practices. This role requires a proactive and innovative mindset to optimize system performance and reliability.
 <br/>
 <br/>
 This position is based in Munich, with frequent coordination with international teams and project stakeholders.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Infrastructure &amp; On-Premises Management:
  </li>
  <ul>
   <li>
    Design, deploy, and maintain scalable on-premise infrastructure,
   </li>
   <li>
    Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools,
   </li>
   <li>
    Ensure high availability, resilience, and security of on-premise environments.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   CI/CD Pipeline Implementation:
  </li>
  <ul>
   <li>
    Develop and maintain automated CI/CD pipelines for application deployment,
   </li>
   <li>
    Integrate automated testing, security scans, and monitoring tools into CI/CD workflows.
   </li>
   <li>
    Optimize deployment strategies for minimal downtime and rollback capabilities.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Automation &amp; Configuration Management:
  </li>
  <ul>
   <li>
    Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python, or PowerShell,
   </li>
   <li>
    Implement containerization and orchestration solutions using Docker and Kubernetes,
   </li>
   <li>
    Ensure seamless integration of DevOps tools into development and operational workflows,
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Monitoring, Logging &amp; Performance Optimization:
  </li>
  <ul>
   <li>
    Implement monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or equivalent tools,
   </li>
   <li>
    Analyze system performance metrics and optimize resource utilization,
   </li>
   <li>
    Develop and maintain alerts and dashboards for real-time visibility.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Security &amp; Compliance:
  </li>
  <ul>
   <li>
    Ensure security best practices, including identity and access management (IAM), encryption, and network, security,
   </li>
   <li>
    Implement compliance controls for GDPR, ISO/IEC 27001, and other industry standards,
   </li>
   <li>
    Conduct regular security audits and vulnerability assessments.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Collaboration &amp; Agile Development:
  </li>
  <ul>
   <li>
    Work closely with development, QA, and operations teams to streamline workflows,
   </li>
   <li>
    Participate in sprint planning, retrospectives, and technical discussions,
   </li>
   <li>
    Provide guidance and mentoring to junior DevOps engineers.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field,
  </li>
  <li>
   Minimum of 7 years of experience in DevOps, infrastructure engineering, or on-premise environment management,
  </li>
  <li>
   Extensive experience with on-premises infrastructure design and maintenance,
  </li>
  <li>
   Strong proficiency in Infrastructure as Code (Terraform, Ansible, etc.),
  </li>
  <li>
   Experience with containerization (Docker, Kubernetes) and microservices architecture,
  </li>
  <li>
   Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions,
  </li>
  <li>
   Expertise in system monitoring, logging, and observability solutions,
  </li>
  <li>
   Strong scripting skills in Bash, Python, or PowerShell,
  </li>
  <li>
   Familiarity with security best practices in on-premises environments,
  </li>
  <li>
   Excellent problem-solving and analytical skills,
  </li>
  <li>
   Strong collaboration and communication abilities.
  </li>
  <li>
   Fluency in English; knowledge of Portuguese, French, or German is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A responsible position with room for creativity and development,
  </li>
  <li>
   An international working environment characterized by team spirit and mutual appreciation,
  </li>
  <li>
   An extraordinary and exciting product portfolio,
  </li>
  <li>
   Flat hierarchies,
  </li>
  <li>
   Flexible working hours,
  </li>
  <li>
   Modern office environment,
  </li>
  <li>
   Company Health Insurance
  </li>
 </ul>
</div>


DevOps Engineer (m/f/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

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)

<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)

Explore 92+ Associate product manager m f d sports technology in Munich this July. Find roles across top companies and apply now to boost your career.