layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior ML Infrastructure Engineer (Compute) at General Motors | LAYIQ

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 a cross GM’s ML infrastructure.
Raise the engineering bar through technical leadership and by establishing best practices .
At a Minimum We'd Like You To Have
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.
It's Preferred If You Have
Hands-on experience with Cloud VM services Google Compute Engine.
Experience with hardware-in-the-loop validation systems.
Experience with high performance computing (HPC).
Experience working with or designing interfaces and clients for developer workflows.
Familiarity with telemetry, and other feedback loops to inform product improvements.
Familiarity with hardware acceleration (GPUs) and optimizations.
Why Join Us?
If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

Senior ML Infrastructure Engineer (Compute)

Employer job description

About the Team:

About the Role:

What you’ll be doing:

Benefits:

Why Join Us

Benefits Overview

About this listing