AI Systems Engineer - Optimization at General Motors

Warren, Michigan, United States

General Motors Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, ManufacturingIndustries

Requirements

  • 5+ years of experience in optimization for AI and robotics systems
  • Strong background in neural compression and embedded AI
  • Experience with hardware-software co-design
  • Bachelor’s degree in Electrical Engineering, Computer Science, or related field
  • Proven ability to improve system performance

Responsibilities

  • Design optimization strategies for compute, memory, and energy efficiency
  • Experiment with neural compression and algorithm tuning
  • Collaborate with AI & Simulation to harden AI models
  • Ensure real-time performance on constrained platforms
  • Develop co-design frameworks for hardware and software
  • Contribute to system-level performance improvements

Skills

AI Systems Engineering
Optimization
Neural Compression
Embedded AI
Hardware-Software Co-Design
Real-Time Algorithm Tuning
Robotics Systems
Compute Efficiency
Memory Efficiency
Energy Efficiency

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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