обновлено 2 дня назад
AI Research And Development Engineer (Physical AI)
74 990 - 139 760€
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Research and Development Engineer (Physical AI): Building the end-to-end stack for robotic intelligence by scaling foundation models to real hardware with an accent on Vision-Language-Action (VLA) policies and edge optimization. Focus on developing safety runtimes, model-agnostic inference APIs, and ensuring reliable real-time performance on constrained robotic platforms.
Location: Must be based in and work from the Netherlands
Salary: €74,990–€139,760
Company
A global leader in computing technology driving business strategy and product development for PC platforms and edge computing solutions.
What you will do
- Implement and fine-tune state-of-the-art Vision-Language-Action policies for robotic manipulation.
- Optimize VLA models for edge deployment using graph compilation and precision calibration.
- Develop safety runtimes to manage velocity limits and workspace bounds for real-world operation.
- Build model-agnostic inference APIs to support diverse robotic platforms and hardware backends.
- Support deployment across edge accelerators to ensure broad hardware compatibility.
- Publish research papers contributing to vision, physical AI, and robotic learning.
Requirements
- Must be based in the Netherlands
- Extensive experience with PyTorch and distributed training for large-scale models.
- Hands-on experience with robotic systems, including industrial robots, EMR, and humanoid robots.
- Deep understanding of VLA architectures and imitation learning techniques.
- Technical expertise in model export, graph compilation, and precision calibration.
- Familiarity with inference runtimes like OpenVINO, ONNX Runtime, or ExecuTorch.
Nice to have
- PhD in robotics, machine learning, or computer vision.
- Contributions to open-source robotics or embodied AI projects.
- Background in low-level performance profiling and hardware-aware optimization.
Culture & Benefits
- Opportunity to build open-source tools for the global robotics community.
- Work on the full pipeline from model training to physical hardware control.
- Focus on real-world utility and performance over theoretical metrics.
- Competitive total compensation package.
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