ML Infrastructure Engineer

General Motors
Sunnyvale, CA, United States
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$119,220.0 - $187,500.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure C++ (Programming Language) Distributed Systems Python (Programming Language) Azure Machine Learning Systems Architecture Systems Integration Google Cloud Backend Kubernetes Machine Learning Operations
+2 more
Golang Programming Languages

Job description

We are looking for a Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

What you’ll do

  • Design core platform backend software components
  • Experience cloud platforms like GCP, Azure
  • 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
  • Proactively identify, drive and design large initiatives across GM ML ecosystem, Hybrid: This role is based hybrid from Sunnyvale you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Requirements

  • 3+ years of industry experience
  • Expertise in either Go, C++, Python or other relevant coding languages
  • Relevant experience building large-scale with distributed systems
  • Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Hands-on experience in ML platforms
  • Experience with GPU/TPU optimizations
  • Experience with Ray framework
  • Experience with Kubernetes at Scale
  • Experience infrastructure applications or similar experience

Benefits & conditions

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.

  • The salary range for this role is $119,220 to $187,500. 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 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, tuition assistance programs, employee assistance program, 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About the company

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Apply for this position

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