Engineering Manager – Robot Intelligence
Leads RobCo's 'Robot Intelligence' team in Munich, managing a full-stack group of software and ML engineers building the physical AI 'brain' of autonomous industrial robots — balancing applied research on foundation models and agentic harnesses with shipping a reliable, factory-ready product.
- Compensation
- Not disclosed
- Location
- Munich
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- University degree in Computer Science, Robotics, Engineering, Data Science or related field
- 3+ years leading high-performing teams in complex technical environments like robotics or industrial IoT
- Deep experience with AI/ML, including dataset curation, model training and optimization techniques
- Hands-on experience building agentic harnesses
- Track record driving an AI-first engineering culture and implementing agentic workflows that accelerate team velocity
- Expert knowledge of modern SDLC practices, with a record of improving deployment frequency and system stability
- Hardware empathy, passion for software-defined hardware, and a culture of high ownership
- Strong full-stack software development experience
- Very good English skills for architectural discussions and stakeholder communication
Nice to have
- Robotics engineering experience
Full description
About the Role at RobCo
RobCo is building the category of Autonomous Industrial Robotics and we're doing it fast. We believe that automating the ordinary frees humans to do the extraordinary, and we're building the end-to-end robotics infrastructure to make that possible - hardware, software, and AI in one stack that just works.
We are now looking for an ambitious Engineering Manager - Robot Intelligence (m/f/d) to help us establish RobCo as a leading provider of autonomous automation solutions.
In this key role, you will lead the “brain” of our autonomous robots - the physical AI harness that works with different models and skills. Managing a full-stack team of software and machine learning engineers, you will balance applied research with business value delivery on a daily basis.
Your mission is to translate the latest advancements in physical AI foundation models and complex robotic functionality into a stable, scalable product that thrives in real-world factory environments.Your Responsibilities:
- Drive Engineering Excellence: Set rigorous standards for code quality, automated testing, and CI/CD pipelines to ensure 24/7 reliability of our robots.
- Lead Senior Talent: Act as a people-first leader for a team of Senior and Staff engineers, fostering a culture of high ownership and steady delivery.
- Bridge Software and Hardware: Oversee the lifecycle of products spanning from ML training, AI inference to Linux-based industrial interfaces.
- Balance Research and Delivery: Establish a strong applied research and experimentation culture, and build a process where the results directly contribute to delivery and practical outcomes.
- Management Framework: Work with real-time metrics and steer the team to continuously improve productivity, predictability and quality of what we ship.
- Operational Governance: Manage technical debt and architectural health to ensure long-term system stability as we scale.
- Strategic Alignment: Partner with Product Management to transform customer needs into concrete technical requirements and actionable sprints.
- Cross-Team Leadership: Mentor junior EMs and help evolve company-wide engineering best practices and software-first principles.
We are looking for someone who has:
- Completed a university degree in Computer Science, Robotics, Engineering, Data Science or a related field.
- 3+ years of experience leading high-performing teams in complex technical environments like robotics or industrial IoT.