Note: The job is a remote job and is open to candidates in USA. General Motors is an automotive company focused on developing safer, more equitable transportation and AI-driven products. The Senior ML Engineer will build and scale reliable, cost-efficient backend services for the ML Compute Platform, integrate GPU hardware and orchestration systems, and improve system architecture, performance, scalability, and user experience.
Responsibilities
- 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
Skills
- * 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
- * 5+ 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
- * Hands-on experience in ML platforms
- * 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
Benefits
- An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Medical coverage
- Dental coverage
- Vision coverage
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation and holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- This job may be eligible for relocation benefits.
- This role is based remotely, with employees who live within a 50-mile radius of Mountain View expected to report to that location three times a week, at minimum.
Company Overview
Company H1B Sponsorship