Senior State Estimation Engineer for Autonomous Driving

General Motors; Sunnyvale (CA); Hybrid; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health benefits

Dental insurance

Vision benefits

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Life insurance

Paid vacation and holidays

Tuition assistance programs

Employee assistance program

GM vehicle discounts

Job summary

General Motors ... Senior State Estimation Engineer within the SEAM Embodied AI organization will drive sensor calibration and state estimation for autonomous driving, designing, architecting, and deploying advanced systems to pinpoint vehicle location and calibrate sensors for safe, robust operation.

You will mentor engineers, influence technical roadmaps, and collaborate across hardware and software teams to ensure seamless integration of localization capabilities into onboard vehicle systems.

Qualifications

• Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of experience developing and deploying state estimation and sensor calibration systems in real-time onboard applications.
• Proven track record as a technical leader in state estimation, localization, and sensor calibration.

Responsibilities

• Drive design, development, and deployment of advanced state estimation and localization solutions.
• Lead and architect complex projects from conception to onboard implementation.
• Mentor engineers and influence engineering practices across teams.

Skills

State estimation

Localization

Sensor calibration

C++

Python

Mentoring

Communication skills

Education

Master's or Ph.D. in Robotics/CS/EE

Job description

General Motors ... Senior State Estimation Engineer within the SEAM Embodied AI organization will drive sensor calibration and state estimation for autonomous driving, designing, architecting, and deploying advanced systems to pinpoint vehicle location and calibrate sensors for safe, robust operation.

You will mentor engineers, influence technical roadmaps, and collaborate across hardware and software teams to ensure seamless integration of localization capabilities into onboard vehicle systems.