AI Resume Builder
JOIN NOW Post Job
General Motors (GM)
AI

Staff ML Engineer, ML Compute Platform

General Motors (GM) · Mountain View, CA, US · $195k - $298k

Actively hiring Posted 4 months ago

Role overview

  • Design and implement core platform backend software components
  • Experience cloud platforms like GCP, Azure or on-prem
  • Collaborate with ML engineers and researchers to understand platform pain points and improve developer experience
  • Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Lead large-scale technical initiatives across GM’s ML ecosystem
  • Help raise the engineering bar through technical leadership and best practices
  • Contribute to and potentially lead open source projects; represent GM in relevant communities

Basic qualifications

  • 8+ years of industry experience
  • Expertise in either Go, C++, Python or other relevant coding languages
  • Strong background with kubernetes at scale
  • Relevant experience building large-scale with distributed systems
  • Experience leading and driving large scale initiatives
  • Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

Preferred qualifications

  • Hands-on experience building ML infrastructure platforms with strong developer/user experience
  • Experience working with or designing job orchestration interfaces, CLI tools, or web UIs for ML workflows
  • Familiarity with observability, telemetry, and user feedback loops to inform product improvements
  • Experience with GPU/TPU optimizations
  • Experience with training frameworks like PyTorch, TorchX
  • Experience with Ray framework
  • Leadership/active participation in the open source community
  • Experience infrastructure applications or similar experience
  • Compensation: The expected base compensation for this role is : $195,000 - $298,000 Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program 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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Robotics
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support