Senior ML Infrastructure Engineer – Compute
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Sunnyvale • California • United States
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Job Level
Tech Stack
About the role
- Design and implement core platform backend software components.
- Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
- Lead technical decision-making on Compute architecture, cloud capacity provisioning, caching, 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
- 4+ years of industry experience, with a focus on high performance backend services.
- 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
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Gocloud platformshigh performance backend servicesmonitoringobservabilitymetricsdistributed computingcachingauto-scalingtechnical leadership
Soft Skills
strong communication skillscollaborationcross-functional initiativesdynamic environmentmulti-taskingproactive research