Research Engineer - New Grad (2027)
$140k - $200k • Sunnyvale • FullTime
Posted 2mo ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Applied Intuition is seeking passionate early-career Research Engineers to join its Research Group. This role focuses on creating cutting-edge technology for next-generation physical AI, specifically in end-to-end autonomous driving and robotic generalist applications. Researchers will leverage industry-leading tools and extensive data to develop and deploy methods into various autonomous systems, including self-driving cars, trucks, and robots. This position is ideal for recent PhD or MS graduates looking to translate strong academic research into practical autonomy systems within a fast-paced, customer-focused environment.
Responsibilities
- Collaborate with the ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles.
- Collaborate with the simulation team to deploy data-driven generation algorithms for efficient and automated tools.
- Conduct research on architecture design, robustness, safety, and language modality incorporation for differentiable stacks.
- Work closely with Research Scientists and interns on high-quality research publications for top-tier conferences.
Requirements
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or a closely related field, graduating by December 2026 or Summer 2027.
- Hands-on experience in at least one of the following: world-action foundation models, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
- Passion for next-generation, scalable autonomy and robotics for real-world systems.
- Strong engineering and research skills with the ability to work independently and collaboratively.
- Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training.
- 1+ year of experience in any relevant field, or an equivalent combination of education and experience.