Research Engineer - New Grad (2027)

The role

Research Engineers will create technology for next-generation physical AI, focusing on end-to-end autonomous driving and robotic generalists. You will collaborate with engineering and simulation teams to deploy algorithms and conduct research on architecture design, robustness, and safety.

What you will do

• 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 highly efficient and automated tools
• Conduct research on architecture design, robustness, safety, and language modality incorporation for the differentiable stack
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences

Required qualifications

• Hands-on experience in at least one of the following: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning,
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Graduating by December 2026 or Summer 2027
• Strong engineering and research skills
• Ability to work both independently and collaboratively on projects
• Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• 1+ year of experience in any field, or equivalent combination of education and experience

Nice to have

• Industry experience on relevant topics (self-driving application preferred)
• Passion for building and shipping customer-focused software frameworks or tools

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.