Cloud & Infrastructure Engineer designing and supporting solutions across Power Platform and Microsoft 365. Collaborating with technical teams to ensure smooth and secure operations.
About the role
- Staff ML Infrastructure Engineer building and scaling robust Compute platforms for Simulation and data workflows at GM. Collaborating with engineers to drive efficiency and reliability in AI infrastructure.
Responsibilities
- 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
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