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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Senior Technical Project Manager - AI & Robotics Foundation Models, Human

Program ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field is required.
  • At least 7 years of experience leading complex technical projects and a proven track record of bringing AI or robotics products from prototype to production are required.
  • Strong hands-on knowledge of AI foundation models and demonstrable experience fine-tuning vision-language-action, vision-language, or multimodal models for real-world applications are required.
  • A solid background in at least one of vision-based manipulation, reinforcement or imitation learning, or multimodal models is required.
  • Proficiency in Python and practical experience with PyTorch or TensorFlow are required; candidates must be comfortable reading and reviewing training code.
  • Experience working directly with real robot hardware and associated middleware is required.
  • A natural technical leader who motivates, mentors, and unblocks engineers, sets a high bar, and translates between researchers, engineers, and end users is required.
  • Strong project management instincts, including Agile or Scrum, are required.
  • Excellent command of English and German at B2–C1 level is required.

Responsibilities

  • Lead multidisciplinary teams technically and operationally, owning end-to-end delivery of AI-in-robotics projects from concept through validated deployment on real hardware.
  • Set the technical direction for fine-tuning foundation models, including vision-language-action and related multimodal architectures, and translate research ideas into shippable robot skills.
  • Own the fine-tuning loop end to end, ensuring models are trained, evaluated, and iterated until they reliably perform target tasks on real robot hardware.
  • Scope feasibility, choose algorithms and data strategies, and challenge engineers to improve model performance, robustness, and safety.
  • Technically lead the full pipeline across the physical AI training center, including teleoperation, data collection and annotation, training, simulation, deployment, and validation.
  • Partner with on-site Robotics Engineers during data capture and experiments to ensure target behaviors and safety standards are met.
  • Step in hands-on when blockers persist by reviewing training scripts, diagnosing data issues, and helping reproduce and resolve model bugs with the team.
  • Connect AI, cloud, robotics, and product teams by removing friction, aligning roadmaps, and translating lessons learned into product and platform improvements.
  • Communicate progress, risks, and trade-offs to senior leadership and stakeholders, and make decisions that keep projects on track.
  • Set an ambitious vision and inspire the team to tackle challenging problems.

Desired Qualifications

  • C++ is a plus.
  • Experience with cloud platforms such as AWS, Azure, or GCP and familiarity with robotic simulation tools such as IsaacSim or MuJoCo are strong pluses.
  • PMP, PRINCE2, or a similar project management certification is a plus.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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