Senior ML Platform Engineer - Remote

General Motors; United States; 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 its ML Compute Platform backend, integrating with GPU hardware and orchestration systems to improve performance and reliability. You will contribute to architecture, API design, and platform usability while collaborating with cross-functional teams.

The role emphasizes distributed systems, cloud platform experience, and hands-on development in Go/C++/Python, with opportunities to influence the end-to-end user experience for GM AI

Qualifications

• 5+ years of industry experience.
• Experience building large-scale distributed systems.
• Strong background with Kubernetes at scale.
• Experience with cloud platforms like GCP, Azure, or AWS.

Responsibilities

• Design core platform backend software components for GM ML compute platform.
• Integrate with GPU hardware and orchestration systems; drive improvements to architecture and UX.
• Collaborate with cross-functional teams to deliver scalable, reliable backend services.

Skills

Distributed systems

Go

C++

Python

Kubernetes

GCP/Azure

Job description

General Motors is seeking a Senior Software Engineer to scale its ML Compute Platform backend, integrating with GPU hardware and orchestration systems to improve performance and reliability. You will contribute to architecture, API design, and platform usability while collaborating with cross-functional teams.

The role emphasizes distributed systems, cloud platform experience, and hands-on development in Go/C++/Python, with opportunities to influence the end-to-end user experience for GM AI