ML Infrastructure Engineer - Cloud, GPUs & Scale

General Motors; United States; Hybrid; USD 119,000 - 188,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

GM vehicle discounts

Tuition assistance

Job summary

General Motors is seeking a Software Engineer to scale our platform for performance, reliability, and usability. You will build critical backend services, integrate with GPU hardware and orchestration systems, and drive architecture/user-experience improvements.

The role involves designing core backend components, leveraging cloud platforms (GCP/Azure/AWS), and collaborating across teams to deliver scalable, efficient solutions within GM's ML ecosystem.

Qualifications

• 3+ years of industry experience.
• Expertise in Go, C++, or Python or other relevant languages.
• Experience building large-scale distributed systems.
• Experience with cloud platforms (GCP, Azure, AWS).

Responsibilities

• Design core platform backend software components.
• Experience cloud platforms like GCP, Azure.
• Thrive in a dynamic, multi-tasking environment with evolving priorities.
• Interface with other teams to incorporate innovations.
• Analyze and improve efficiency, scalability, and stability of system resources.
• Drive large initiatives across GM ML ecosystem.

Skills

3+ years experience

Go/C++/Python

Distributed systems

Cloud platforms (GCP/Azure/AWS)

Tools

Kubernetes at scale

Ray framework

GPU/TPU optimizations

Job description

General Motors is seeking a Software Engineer to scale our platform for performance, reliability, and usability. You will build critical backend services, integrate with GPU hardware and orchestration systems, and drive architecture/user-experience improvements.

The role involves designing core backend components, leveraging cloud platforms (GCP/Azure/AWS), and collaborating across teams to deliver scalable, efficient solutions within GM's ML ecosystem.