Research Engineer - New Grad (2027)
Applied Intuition · Sunnyvale
Roboticsonsiteentry-level$140k–$200k
At a glance
Highlights
- Create cutting-edge tech enabling next-gen physical AI for autonomy and robotics.
- Deploy end-to-end algorithms to mass-production vehicles with ADAS team.
- Access millions of miles of fleet data to test robotics and driving methods.
What they offer
- Equity
Ideal candidate
Recent MS or PhD graduate passionate about scalable autonomy and robotics, eager to translate strong academic research into shipped real-world systems.
Requirements
- MSc or PhD in machine learning, computer vision, autonomy/robotics or related field graduating by Dec 2026 or Summer 2027
- Hands-on experience in world-action foundation models, video/Gaussian generation, diffusion policy or multimodal robot learning
- Experience with VLA post-training, reinforcement learning, physics-aware reconstruction or deformable simulation
- Strong engineering and research skills with ability to work independently and collaboratively
- Technical experience in Python, PyTorch and computer vision
- remote policy
- In-office 5 days a week with occasional 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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