Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
Own the technical roadmap, lead technical decisions on Compute architecture, caching, capacity provisioning, and auto-scaling mechanisms.
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.
Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.
Lead large-scale technical initiatives across GM’s ML infrastructure.
Raise the engineering bar through technical leadership and by establishing best practices.

Requirements

8 + years of industry experience, with a focus on high performance backend services.
Strong expertise in container technologies like Docker and Kubernetes.
Strong expertise in Go, or other similar coding languages.
Experience working with cloud platforms such as GCP, Azure, or AWS.
Experience in delivering cross-functional initiatives.
Strong communication skills and a proven ability to drive cross-functional initiatives.
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include 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 and more

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend servicescontainer technologiesDockerKubernetesGocloud platformsGCPAzureAWSdistributed computing

Soft Skills

communication skillstechnical leadershipcross-functional collaborationability to thrive in dynamic environmentsmulti-tasking