Autonomous Perception Researcher I

Nissan Motor Corporation; Santa Clara (CA); Hybrid; USD 98,000 - 199,000; Full time

Benefits offered by this job

Medical Insurance

Mental Health Support

Parental Leave

Retirement Savings

Vehicle Lease Discounts

Vehicle Purchase Program

Job summary

Nissan Motor Corporation in Silicon Valley seeks a Researcher I to join the Autonomous Systems team. You will help develop perception algorithms for safe, human-like autonomous vehicle behavior, exploring road user detection, road structure estimation, and system performance in simulated and real-world driving environments.

Join a team bridging machine learning, robotics, and computer vision, contributing to cutting-edge research and potential publications while collaborating with engineers

Qualifications

• Bachelor’s degree with strong foundation in ML, robotics, CV, or related field.
• Experience designing, training, and evaluating ML models.
• Strong programming in Python and C++.
• Ability to communicate technical findings effectively.

Responsibilities

• Design and execute perception research focused on road user detection and scene understanding.
• Train, evaluate, and optimize ML models using modern DL techniques.
• Test and validate in simulation and real-world driving environments.
• Analyze model performance and identify improvement opportunities.
• Develop research software and experimental frameworks in Python and C++.

Skills

Python

C++

Machine Learning

Robotics

Computer Vision

Communication

Education

Bachelor's Degree

Master's Degree (related field)

Tools

PyTorch

TensorFlow

Job description

Nissan Motor Corporation in Silicon Valley seeks a Researcher I to join the Autonomous Systems team. You will help develop perception algorithms for safe, human-like autonomous vehicle behavior, exploring road user detection, road structure estimation, and system performance in simulated and real-world driving environments.

Join a team bridging machine learning, robotics, and computer vision, contributing to cutting-edge research and potential publications while collaborating with engineers