Senior Ml/ai Engineer - Developer Experience

General Motors

Austin, Texas, USA
Base: $108,420 to $161,500; bonus/equity: incentiv...
Hybrid
Designing, building, and operating production systems
Ai engineering principles and concepts
Scalable, reliable, and maintainable services
The AI Cloud and Developer Infrastructure organization delivers and maintains tools and services for GM engineers to enhance the entire development process

Job Summary

  • The AI Cloud and Developer Infrastructure organization delivers and maintains tools and services for GM engineers to enhance the entire development process.
  • This role involves identifying engineering pain points, proposing/designing/implementing solutions, and evaluating new tools and technologies.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings, and more.

Matching Summary

The AI Cloud and Developer Infrastructure organization delivers and maintains tools and services for GM engineers to enhance the entire development process.

Salary

Base: $108,420 to $161,500; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement savings plan, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, GM vehicle discounts and more.

Skills & Requirements

Must-have

  • Designing, building, and operating production systems
  • AI Engineering principles and concepts
  • Scalable, reliable, and maintainable services
  • Go or equivalent production scale language
  • Unix/Linux, SSH, and networking fundamentals
  • Lead and influence others
  • Self-driving technology passion

Nice-to-have

  • Passion for developer productivity
  • Mentoring and growing junior engineers
  • Leveling up team efficiency
  • Balancing business needs and engineer growth
  • Shipping improvements to toolchains

Key Requirements

  • 3+ years of experience
  • Bachelors Degree in Computer Science or related field or equivalent work experience
  • Must be legally authorized to work in the US
  • Hybrid work model expected

Work Rights

Not specified

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