AI & Software Systems Researcher at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TransportationIndustries

Requirements

U.S. citizenship required pursuant to government contract
MS Degree in Computer Science, Electrical Engineering, Mathematics, or a related STEM field
Strong background and research experience in AI/ML, specifically Generative AI and computer vision, as well as software engineering
Proficiency in programming languages such as Python or C++
Hands-on experience with AI/ML and data analytics frameworks and libraries, such as Azure OpenAI, TensorFlow, and PyTorch
Hands-on experience with AI/ML development lifecycle, such as dataset preparation, training, fine-tuning, testing, and optimization of AI/ML models
Strong publication record in reputed conferences, such as ICSE, CVPR, ICCV, and ECCV
Excellent problem solving and analytical skills
Strong written and verbal communication skills
Ability to work independently and collaboratively in a team-oriented environment
Eligibility to access classified information at the Confidential U.S. Security Clearance level

Responsibilities

Conduct research and analysis in software systems, system engineering, AI, and ML to identify emerging trends, technologies, and best practices
Understand existing software development processes and tools in the enterprise for Level 2+ systems and identify opportunities to leverage AI/ML technologies
Utilize recent advancements in Generative AI, such as Large Language Models (LLMs), Multi-modal Models, and Agentic AI framework, to develop impactful applications for the enterprise
Collaborate with cross-functional teams to define research objectives, develop research plans, execute projects, and facilitate technology transfer
Contribute to GM R&D through the generation of new intellectual property and internal/external publications
Facilitate technology transfer by actively participating in inter-organizational teams
Collaborate with external partners, universities, and research institutions to foster innovation and drive collaborative research initiatives
Design and develop AI/ML-based proof-of-concept solutions throughout the software systems engineering lifecycle

Skills

Machine Learning

Generative AI

Large Language Models

Multi-modal Models

Agentic AI

Software Systems Engineering

Research

System 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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