Senior Software Engineer – AI 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, ManufacturingIndustries

Requirements

4+ 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

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

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, meaning the successful candidate is expected to report to the MTV office three times per week, at minimum.

What are the required skills for this Senior Software Engineer role?

Required skills include 4+ years in software engineering or ML infrastructure, proven track record of building AI infrastructure (data, training, eval, serving), strong understanding of modern AI algorithms/models/frameworks like PyTorch/TensorFlow, experience deploying AI on cloud GPUs/TPUs (AWS, Azure, GCP), and fluency in Python plus C++/Go/Java.

What is the compensation for this position?

This information is not specified in the job description.

What is the team culture like at GM's AI Core Infrastructure team?

The team is a high-impact group under the Chief AI Officer, powering GM’s enterprise-wide AI infrastructure, collaborating with vehicle/manufacturing teams, and championing cutting-edge AI technologies while ensuring responsible AI practices.

What makes a candidate competitive for this role?

A competitive edge comes from experience in the automotive industry or physics-based simulations, natural language AI like customization/summarization/translation, and test-driven development, in addition to the required qualifications.

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