Staff Software Engineer – AI Platform at General Motors

Mountain View, California, United States

Apply Now

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Automotive, Manufacturing, Artificial IntelligenceIndustries

Requirements

7+ years in software engineering or ML infrastructure (or post-graduate equivalent)
Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving)
Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, Tensorflow etc.)
Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)
Fluency in Python, and at least one of C++/Go/Java
Proven ability to architect production-ready distributed systems
Highly developed communication and collaboration skills

Responsibilities

Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
Collaborate with researchers and industry partners to understand technical requirements and measure impact
Scale our architecture to deploy reliably and performantly across large-scale applications
Define best practices for AI software engineering across the company, including AI safety/guardrails
Provide technical guidance to internal teams and business partners
Lead cross-functional development efforts with engineering and product teams
Mentor engineers and foster technical growth across the teams

Skills

Key technologies and capabilities for this role

Machine LearningAI InfrastructureData PipelinesFine-tuningModel EvaluationDeploymentScalingAI Models

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

This role is categorized as hybrid, requiring the successful candidate to report to the Mountain View office three times per week at minimum.

What experience level is required for this position?

The role requires 7+ years in software engineering or ML infrastructure (or post-graduate equivalent).

What technical skills are needed for this Staff Software Engineer role?

Candidates need a proven track record of building cutting-edge AI infrastructure, strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, Tensorflow), experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP), fluency in Python and at least one of C++/Go/Java, and ability to architect production-ready distributed systems.

What is the team structure and culture like?

The role is on the AI Core Infrastructure team under the Chief AI Officer, a high-impact team powering GM’s enterprise-wide AI infrastructure, focused on collaboration with researchers, product, vehicle, and manufacturing teams while championing cutting-edge AI technologies and responsible AI practices.

What makes a strong candidate for this role?

A strong candidate has 7+ years of experience in software engineering or ML infrastructure, proven expertise in building AI infrastructure components like data pipelines and deployment systems, strong AI framework knowledge, cloud deployment experience, programming fluency, distributed systems architecture skills, and excellent communication and collaboration abilities.

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