Remote Modeling Simulation Engineer Jobs in Santa Clara, CA

About the Team:

TheAI Validation Platformteam owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM's AV efforts.We'reproud to serve as theinfrastructureplatform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation ofstate-of-the-art(SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.

About the Role:

We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and highutilizationofcutting-edgeGPUs, while also leveling up the platform's reliability. The successful candidate will have experience building and running scalable distributed systems.They will rapidly test and promote ideas, have strong problem-solving skills, anddemonstratea bias for action.

You will play a key role in shaping the architecture, roadmap, anduser experienceof a robust service supportingourAI Validation / Simulation needs. The ideal candidate brings experience in designing distributed systems,strong problem-solving skills, and aget-it-done attitude. This is a high-impact opportunity to influence the future of AI infrastructure at GM.

Whatyou'llbe doing:

• 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 initiativesacross GM's ML infrastructure.

• Raise the engineering bar through technical leadership and byestablishingbest practices.

At a Minimum We'd Like YouToHave

• 4+ years of industry experience, with a focus on high performance backend services.

• Strongexpertisein Go, or other similar coding languages.

• Experience working with cloud platforms such as GCP, Azure, or AWS.

• Experienceindeliveringcross-functional initiatives.

• Strong communicationskills and a proven ability to drive cross-functional initiatives.

• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

It'sPreferred 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?

Ifyou'reexcited to tackle some of today's most complex engineering challenges, see the impact of your workinreal-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 paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.

• The salary range for this role is $155,420 to $205,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

• 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Benefits:

• 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Relocation:This job may be eligible forrelocationbenefits.

Remote/Hybrid: This role is basedremotelybut if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.