Staff ML Engineer, Inference Platform at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Autonomous VehiclesIndustries

Requirements

8+ years of industry experience, with focus on machine learning systems or high performance backend services
Expertise in either Go, Python, C++ or other relevant coding languages
Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc)
Strong communication skills and a proven ability to drive cross-functional initiatives
Experience working with cloud platforms such as GCP, Azure, or AWS
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities
Preferred Qualifications
Hands-on experience building ML infrastructure platforms for model serving/inference
Experience working with or designing interfaces, apis and clients for ML workflows
Experience with Ray framework, and/or vLLM
Experience with distributed systems, and handling large-scale data processing
Familiarity with telemetry, and other feedback loops to inform product improvements
Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads
Contributions to open-source

Responsibilities

Design and implement core platform backend software components
Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value
Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services
Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques
Lead large-scale technical initiatives across GM’s ML ecosystem
Raise the engineering bar through technical leadership, establishing best practices
Contribute to open source projects; represent GM in relevant communities

Skills

Key technologies and capabilities for this role

Distributed SystemsML InferenceModel ServingGPU UtilizationScalabilityConcurrencyCloud PlatformsML Workflows

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

This role is hybrid, requiring the successful candidate to report to the GM Global Technical Center - Cole Engineering Center in Podium, MI or Mountain View Technical Center, CA at least three times per week, or other frequency dictated by the business.

What is the minimum experience required for this position?

The position requires a minimum of 8+ years of industry experience.

What does the team work on?

The ML Inference Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts, serving autonomous vehicles (L3/L4/L5) and other AI-driven products, with a focus on optimizing ML model serving for performance, availability, concurrency, and scalability.

What salary or compensation does this role offer?

This information is not specified in the job description.

What makes a strong candidate for this Staff ML Engineer role?

A strong candidate has 8+ years of industry experience, expertise in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.

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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