Research Engineer - Autonomy

Applied Intuition•Sunnyvale, CA

12d•Onsite

About The Position

We are looking for a passionate Research Engineer to join the Research Team at Applied Intuition. This team conducts world-class research for autonomous systems with applications to autonomous driving and general robotics. You will have access to millions of miles of large-scale data and industry-leading simulators and tools to develop cutting-edge models at scale. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industry within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

Requirements

Hands-on experience with end-to-end autonomy, vision-language-action model, reinforcement learning, multi-view perception and ML planner
A passion for scalable, data-driven autonomy for real-world systems
Strong research skills and the ability to work both independently and collaboratively on projects

Nice To Haves

MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
Experience with training with large-scale data and ML models and/or applying language modality in AV stacks
Passion for building and shipping customer-focused software frameworks or tools

Responsibilities

Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools