Staff AI Engineer at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, ManufacturingIndustries

Requirements

Master’s degree in Computer Engineering or Data Science
In-depth Knowledge and experience with software development
In-depth experience designing, training, testing and deploying deep learning models for vision applications
In-depth experience with PyTorch, TensorFlow, and/or Keras
10+ years of software engineering experience
10+ years of AI, ML, and/or data science experience
In-depth Experience with Ops, MLOps and/or LLMOps

Responsibilities

Definition and adoption of GM MFG AI capabilities
Identify opportunities to update and/or streamline the current AI and GM Robotics Engineering processes together with Manufacturing Engineering SMEs
Define and develop ML solutions in real-world environments
Computer Vision solutions in real-world environments
Ability to digest, design and deploy solutions based on research artifacts
Simulation
Data Visualization
Designing solutions at scale (minimize operational overhead)
End to end understanding of systems and interfaces, so solutions can be built to fit within constraints
Perform complex design analysis
Specify and balances system requirements
Provide, communicate, and support common best practices among software community

Skills

Key technologies and capabilities for this role

AIMachine LearningDeep LearningComputer VisionData ScienceSoftware EngineeringML SolutionsSimulationData Visualization

Questions & Answers

Common questions about this position

What is the compensation for the Staff AI Engineer role?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and qualifications are required for this Staff AI Engineer position?

Required qualifications include a Master’s degree in Computer Engineering or Data Science, in-depth knowledge and experience with software development, in-depth experience designing, training, testing and deploying deep learning models for vision applications, in-depth experience with PyTorch, TensorFlow, and/or Keras, 10+ years of software engineering experience, 10+ years of AI, ML, and/or data science experience, and in-depth experience with Ops, MLOps and/or LLMOps.

What is the company culture like for this role at General Motors?

The team values a steadfast drive for excellence, challenging themselves and peers, collaborative work in cross-functional teams, an excellent work ethic, strong ability to learn, excelling in data science and deep learning, and delivering innovative solutions to complex problems.

What will give me a competitive edge when applying for this Staff AI Engineer role?

A PhD, publications, in-depth knowledge of ML fundamentals, demonstrated experience in developing and deploying ML solutions for real-world applications, experience in cloud technologies such as Docker and K8, knowledge in Java/C#, Python, SQL, C/C++, and strong analytical skills will give you a competitive edge.

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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