Robotics AI Research Engineer — Autonomy Leader

Applied Intuition; Sunnyvale (CA); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Applied Intuition is hiring Research Engineers to push the frontiers of physical AI for autonomous driving and robotic systems. You will join the Research Group in developing next-generation autonomy technologies, contributing to data collection, simulations, and published research papers.

The role emphasizes collaboration with researchers and engineers to deliver practical, scalable solutions, with opportunities to lead advanced projects and contribute to real-world deployments.

Competenze

• Hands-on experience in one of the listed fields with autonomous systems.
• Strong engineering and research skills and ability to work independently or in teams.
• Proficient in Python, PyTorch, CV, robotics, and distributed ML training.

Mansioni

• Support robotic and data collection hardware setup and design mechatronic systems.
• Construct large-scale robotic simulation environments for RL training.
• Process human data for robotic use cases.
• Collaborate with Research Scientists on high-quality publications for top conferences.
• Partner with engineering teams on ADAS, data and simulation to deploy end-to-end algorithms.

Conoscenze

World-action foundation model

Video/Gaussian generation

Diffusion policy

Multi-modal robot learning

Formazione

Masters or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field

Strumenti

Python

PyTorch

Computer vision

Robotics systems

Distributed ML training

Descrizione del lavoro

Applied Intuition is hiring Research Engineers to push the frontiers of physical AI for autonomous driving and robotic systems. You will join the Research Group in developing next-generation autonomy technologies, contributing to data collection, simulations, and published research papers.

The role emphasizes collaboration with researchers and engineers to deliver practical, scalable solutions, with opportunities to lead advanced projects and contribute to real-world deployments.