Senior Technical Project Manager - AI & Robotics Foundation Models (human)
LocationMetzingen / Riederich
Work modeon-site
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentProduct
Company size1,001–5,000 people
PostedAug 21, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master's degree in Computer Science, Robotics, Electrical Engineering or a related technical field
7+ years leading complex technical projects
Proven track record of bringing AI or robotics products from prototype to production
Deep, hands-on AI know-how with strong grasp of modern foundation models and experience fine-tuning them (VLA, vision-language, or multimodal models) for real-world applications
Solid background in vision-based manipulation, reinforcement or imitation learning, or multimodal models
Proficient in Python
Practical experience in PyTorch or TensorFlow
Comfortable working directly with real robot hardware and associated middleware
A natural technical leader: motivate, mentor and unblock engineers
Strong project management instincts (Agile / Scrum)
Excellent command of English
Excellent command of German (B2–C1)
Proficient in C++
Cloud experience (AWS, Azure, or GCP)
Familiarity with robotic simulation tools (IsaacSim, MuJoCo, etc.)
PMP, PRINCE2 or similar certification
Skills
Python
C++
PyTorch
TensorFlow
AWS
Azure
GCP
IsaacSim
MuJoCo
Senior Technical Project Manager – AI & Robotics Foundation Models
Lead the technical delivery of our most ambitious AI-driven robotics programs. In this role, you will steer cross-functional teams of AI engineers, robotics engineers and software developers to push the frontier of physical AI — fine-tuning Vision-Language-Action (VLA) models and other foundation models, and bringing them to life on real robots, from our cognitive arm MAiRA to our humanoid 4NE-1 and our service robot MiPA. You don’t just manage timelines; you set the technical direction, unblock the hard problems, and bring projects over the finish line.
Your mission & challenges
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Lead multi-disciplinary teams technically and operationally — owning the end-to-end delivery of AI-in-robotics projects from concept through validated deployment on real hardware.
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Set the technical direction for fine-tuning foundation models (VLA and related multimodal architectures) and translate ambitious research ideas into shippable robot skills.
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Own the fine-tuning loop end-to-end: ensure models are trained, evaluated and iterated until they reliably perform the target task on real robot hardware.
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Drive teams to excel: scope feasibility, choose the right algorithms and data strategies, and challenge engineers to raise the bar on model performance, robustness and safety.
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Orchestrate and technically lead the full pipeline from end-to-end — teleoperation, data collection and annotation, training, simulation, deployment and validation — across our NeuraGym physical AI training center.
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Partner closely with on-site Robotics Engineers during data capture and experiments to ensure target behaviors and safety standards are met.
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Step in hands-on when blockers persist: review training scripts, diagnose data issues, help reproduce and resolve model bugs alongside the team.
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Serve as the connective tissue between AI, cloud, robotics and product teams — removing friction, aligning roadmaps, and turning lessons learned into product and platform improvements.
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Communicate progress, risks and trade-offs crisply to senior leadership and stakeholders, and make the calls that keep projects on track.
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Lead with positive energy and ambition: set a bold vision, celebrate progress, and inspire your team to take on problems others consider out of reach.
What we can look forward to
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Master’s degree in Computer Science, Robotics, Electrical Engineering or a related technical field.
•
7+ years leading complex technical projects, with a proven track record of bringing AI or robotics products from prototype to production.
•
Deep, hands-on AI know-how — strong grasp of modern foundation models and demonstrable experience fine-tuning them (VLA, vision-language, or multimodal models) for real-world applications.
•
Solid background in at least one of: vision-based manipulation, reinforcement or imitation learning, or multimodal models — and the curiosity to master the rest.
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Proficient in Python (C++ a plus) with practical experience in PyTorch or TensorFlow; comfortable reading and reviewing your team’s training code.
•
Comfortable working directly with real robot hardware and associated middleware.
•
Cloud experience (AWS, Azure, or GCP) and familiarity with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a strong plus.
•
A natural technical leader: you motivate, mentor and unblock engineers, set a high bar, and translate fluently between researchers, engineers and end-users.
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Strong project management instincts (Agile / Scrum); PMP, PRINCE2 or similar a plus, but technical credibility comes first.
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Excellent command of English and German (B2–C1).