Staff ML Engineer, ML Compute 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 IntelligenceIndustries

Requirements

8+ years of industry experience
Expertise in either Go, C++, Python or other relevant coding languages
Strong background with Kubernetes at scale
Relevant experience building large-scale distributed systems
Experience leading and driving large scale initiatives
Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

Responsibilities

Design and implement core platform backend software components
Experience cloud platforms like GCP, Azure or on-prem
Collaborate with ML engineers and researchers to understand platform pain points and improve developer experience
Thrive in a dynamic, multi-tasking environment with ever-evolving priorities
Interface with other teams to incorporate their innovations and vice versa
Analyze and improve efficiency, scalability, and stability of various system resources
Lead large-scale technical initiatives across GM’s ML ecosystem
Help raise the engineering bar through technical leadership and best practices
Contribute to and potentially lead open source projects; represent GM in relevant communities

Skills

Key technologies and capabilities for this role

Distributed SystemsML PlatformsGPU UtilizationModel TrainingModel DeploymentBackend DevelopmentCloud PlatformsScalability

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and what are the location requirements?

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

What are the key required skills and experience for this Staff ML Engineer role?

The role requires 8+ years of industry experience, expertise in Go, C++, Python or other relevant coding languages, strong background with Kubernetes at scale, relevant experience building large-scale distributed systems, experience leading large-scale initiatives, and working with Google Cloud Platform.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team and culture like for the ML Compute Platform?

The ML Compute Platform team is part of the AI Compute Platform organization within Infrastructure Platforms, owning the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI for autonomous vehicles and other AI-driven products, with a focus on optimizing for ML-centric use cases, performance, availability, scalability, and maximizing GPU utilization.

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

A strong candidate has 8+ years of industry experience, expertise in Go, C++, or Python, strong Kubernetes and distributed systems background, experience with cloud platforms like GCP, and a track record of leading large-scale initiatives while thriving in dynamic environments.

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