Robotics Research Engineer: Simulation, Data & Hardware

Applied Intuition; Sunnyvale (CA); Hybrid; USD 126,000 - 423,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid time off

Wellness stipend

Job summary

Applied Intuition is seeking a Research Engineer to join the Research Group, driving cutting-edge physics-based AI for end-to-end autonomy in driving and robotics. You will access vast datasets from large fleets and contribute to publications, with a pathway to leadership roles.

The role blends hands-on hardware work with advanced algorithmic research in a fast-paced, customer-focused environment. We value cross-disciplinary collaboration, strong coding skills, and the ability to translate

Qualifications

• Hands-on experience in at least one of the following fields.
• Passion for next-generation, scalable autonomy and robotics for real-world systems.
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects.
• Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.

Responsibilities

• Support the team for robotic and data collection hardware setup, and design the mechatronic system for customized demands.
• Construct robotic simulation environments at scale and use it for RL training.
• Process human data for robotic use cases.
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences.
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development.

Skills

Python

PyTorch

Computer vision

Robotics systems

Distributed ML

Education

MSc or PhD in ML/Computer Vision with autonomy and robotics applications

Tools

ROS

TensorFlow

Job description

Applied Intuition is seeking a Research Engineer to join the Research Group, driving cutting-edge physics-based AI for end-to-end autonomy in driving and robotics. You will access vast datasets from large fleets and contribute to publications, with a pathway to leadership roles.

The role blends hands-on hardware work with advanced algorithmic research in a fast-paced, customer-focused environment. We value cross-disciplinary collaboration, strong coding skills, and the ability to translate