Senior ML Platform Engineer - Remote, GPU & Cloud Scale

General Motors

Sunnyvale, Northern (CA, KY)

Hybrid

USD 155,000 - 396,000

Full time

5 days ago
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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

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.

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