Engineering Group Manager, AI and Machine Learning at General Motors

Milford, Michigan, United States

General Motors Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AutomotiveIndustries

Requirements

  • Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degree
  • Minimum of 7 years of professional engineering/technical experience
  • Minimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system development
  • Strong knowledge of AI/ML concepts, frameworks, and applications in software development
  • Experience with common machine learning libraries and frameworks
  • Familiarity with deep learning techniques, neural networks, and natural language processing
  • Solid understanding of computer programming languages such as Python, Java, C++, etc
  • Demonstrated technical background in chassis controls and/or vehicle dynamics
  • Proven track record of successful project execution
  • Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
  • Demonstrated ability to deal with ambiguity while driving timely decision making
  • Possess a valid driver’s license and the ability to operate test vehicles

Responsibilities

  • Lead the development and deployment of AI/ML technologies for GM’s vehicle motion control and estimation
  • Collaborate with cross-functional teams, including control engineers, software developers, calibrators, and business stakeholders, to define project requirements and ensure successful execution
  • Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies to improve speed, quality, and safety across development cycles
  • Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth
  • Stay abreast of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs
  • Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems
  • Communicate project status, risks, and opportunities to senior leadership
  • Partner with other departments to promote AI/ML adoption across the organization
  • Manage resource planning and team development
  • Model and foster GM's Core Values and Winning Behaviors

Skills

AI
Machine Learning
Embedded Controls
Vehicle Motion Control
Agile Methodologies
Control Software
Mechatronics
Systems Engineering

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters
1908Year Founded
$486.7MTotal Funding
IPOCompany Stage
Automotive & Transportation, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Company Match
401(k) Retirement Plan
Tuition Reimbursement
Student Loan Assistance
Flexible Work Hours
Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.
Chevrolet Equinox EV recall could harm GM's safety reputation.
Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.
GM leads in board diversity with 55% women directors.
GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.
Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.
Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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