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RobCo is building autonomous industrial robotics solutions that combine hardware, software, and AI into an integrated stack. The company has raised $160M from top-tier investors (Lightspeed, Sequoia, Lingotto Innovation), operates 200+ people globally, and has deployed robots with 2.5M+ operating hours in factories across Europe and the United States.
You will lead the "brain" of RobCo's autonomous robots—the physical AI harness that powers intelligent decision-making in real-world factory environments. Managing a full-stack team of Senior and Staff software and machine learning engineers, you will balance cutting-edge applied research with practical product delivery.
Key Responsibilities:
- Drive engineering excellence by setting rigorous standards for code quality, automated testing, and CI/CD pipelines to ensure 24/7 robot reliability.
- Lead and mentor a team of Senior and Staff engineers, fostering a culture of high ownership and predictable delivery.
- Bridge software and hardware domains, overseeing the full product lifecycle from ML training and AI inference to Linux-based industrial interfaces.
- Establish an applied research culture where experimentation directly feeds into product outcomes.
- Manage technical debt and architectural health to ensure long-term system stability as the company scales.
- Partner with Product Management to translate customer needs into concrete technical requirements and actionable sprints.
- Mentor junior engineering managers and help evolve company-wide engineering best practices.
- Use real-time metrics to continuously improve team productivity, predictability, and quality.
The role offers the opportunity to work on state-of-the-art physical AI, shape engineering culture at a fast-growing scale-up, and see direct impact from day one. RobCo operates with flat hierarchies, open communication, regular 360° feedback, flexible working hours, and a modern Munich office with work-from-home options.
Requirements:
- University degree in Computer Science, Robotics, Engineering, Data Science, or related field.
- 3+ years of experience leading high-performing teams in complex technical environments (robotics, industrial IoT, or similar).
- Deep experience with AI and machine learning, including dataset curation, model training, optimization techniques, and hands-on experience building agentic harnesses.
- Proven track record driving an AI-first engineering culture and implementing agentic workflows that measurably accelerate team velocity and system efficiency.
- Expert knowledge of modern SDLC practices with a track record of improving deployment frequency and system stability.
- Hardware empathy, passion for software-defined hardware, and strong culture of high ownership.
- Full-stack software development experience; robotics engineering is a plus.
- Very good English skills with ability to navigate complex architectural discussions with Staff engineers and communicate risks to stakeholders.
