Senior ML Engineer, ML compute

General Motors; Sunnyvale, Northern (CA, KY); On-site; USD 155,000 - 396,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Sickness and accident benefits

Life insurance

Paid vacation & holidays

Tuition assistance programs

Employee assistance program

GM vehicle discounts

Job summary

General Motors is seeking a Senior Software Engineer to scale the ML compute backend and support GPU-backed workloads across GM AI. You will design backend components, drive performance and reliability improvements, and collaborate with cross-functional teams across the ML ecosystem.

The role emphasizes distributed systems, cloud integration (GCP/Azure/AWS), and a product-minded approach to delivering robust engineering solutions at scale.

Qualifications

• 5+ years of industry experience.
• Expertise in Go, C++, or Python.
• Strong background with Kubernetes at scale.
• Experience building large distributed systems.
• Experience leading large-scale initiatives.
• Experience with cloud platforms (GCP, Azure, AWS).

Responsibilities

• Design core backend platform components and services.
• Build and maintain critical backend services powering GM ML workloads.
• Integrate with GPU hardware and orchestration systems.
• Drive improvements to system architecture, reliability, and user experience.

Skills

Backend design

Kubernetes at scale

Distributed systems

Cloud platforms (GCP/Azure/AWS)

Go/C++/Python

Cross-team collaboration

Job description

About the Team:

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.

About the Role:

We are looking for a Senior Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience. This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

Your Skills & Abilities (Required Qualifications)

• Design core platform backend software components
• Experience cloud platforms like GCP, Azure
• 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
• Proactively identify, drive and design large initiatives across GM ML ecosystem

At a Minimum We’d Like You To Have

• 5+ 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 with distributed systems
• Experience leading and driving large scale initiatives
• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

What Will Give You a Competitive Edge (Preferred Qualifications)

• Hands-on experience in ML platforms
• Experience with GPU/TPU optimizations
• Experience with training frameworks like PyTorch, TorchX
• Experience with Ray framework
• Leadership/active participation in the open source community
• Experience infrastructure applications or similar experience

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential:

An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• medical
• dental
• vision
• Health Savings Account
• Flexible Spending Accounts
• retirement savings plan
• sickness and accident benefits
• life insurance
• paid vacation & holidays
• tuition assistance programs
• employee assistance program
• GM vehicle discounts

Relocation:

This job may be eligible for relocation benefits.

Remote/Hybrid:

This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

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