Job Description

Employment Type: Full-time

Position Overview

Research, design, develop, and test robotic and machine learning applications for a driverless technology company.

Responsibilities

• Design and develop vehicle path planning algorithms.
• Research, implement, evaluate, and deploy deep-learning based methods for planning for autonomous vehicles.
• Design and develop complex, highly scalable, and latency-optimized software.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• May telecommute.

Requirements

• Education: Master’s degree or foreign equivalent degree in Mechanical Engineering, Computer Science, Electrical Engineering, Robotics Engineering, or a related field.
• Experience: One year of work experience as a Robotics Engineer, Machine Learning Engineer, Robotics Intern, or a related occupation.
• Technical Skills:
  • Optimization and search-based planning & control
  • Artificial Intelligence and Machine learning
  • Vehicle Kinematics and Dynamics Modelling
  • Robotics specific development, debugging, testing and simulation tools (RViz, Gazebo, Unity, ROS, CUDA, Pytorch, or Linux)
  • C++
  • Python

Compensation

• Base Compensation: $193,000.00 - $205,000.00 Annually
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• #LI-DNI

About General Motors

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Why Join Us

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Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state, and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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