Research Engineer - Robot Learning
Applied Intuition · Sunnyvale
Roboticsonsite$126k–$423k
At a glance
Highlights
- Build large-scale robotic simulation environments for RL training.
- Deploy methods to self-driving cars, humanoids and dexterous hands.
- Access millions of miles of fleet data to power next-gen physical AI.
Ideal candidate
Passionate researcher-engineer excited by scalable real-world autonomy and robotics who thrives collaborating with leading experts and turning research into deployed systems.
Requirements
- Hands-on experience in world-action foundation models, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, RL, physics-aware reconstruction or deformable simulation
- Passion for next-generation scalable autonomy and robotics for real-world systems
- Strong engineering and research skills with ability to work independently and collaboratively
- Technical experience in Python, PyTorch, computer vision, robotics systems and distributed ML training
- remote policy
- In-office 5 days a week with occasional remote flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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