Develop and test robotic and machine learning applications for autonomous vehicles, including design of algorithms and software optimization.
Description
Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying 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.
Additional Description
REQUIREMENTS: Master's degree or foreign equivalent degree in Mechanical Engineering, Computer Science, Electrical Engineering, Robotics Engineering, or a related field and One year of work experience as a Robotics Engineer, Machine Learning Engineer, Robotics Intern, or a related occupation. Background, education, or experience must include: 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++; and Python.
Compensation:
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying 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.
Additional Description
REQUIREMENTS: Master's degree or foreign equivalent degree in Mechanical Engineering, Computer Science, Electrical Engineering, Robotics Engineering, or a related field and One year of work experience as a Robotics Engineer, Machine Learning Engineer, Robotics Intern, or a related occupation. Background, education, or experience must include: 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++; and Python.
Compensation:
- The expected base compensation for this role is $193,000.00 to $205,000.00 Annually.
- Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Top Skills
C++
Cuda
Gazebo
Linux
Python
PyTorch
Ros
Rviz
Unity
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