Staff Software Engineer

General Motors Australia & New Zealand

Sunnyvale, United States
Base: $218,800-$335,300; bonus/equity: incentive p...
Fully remote
Lead technical direction for data collection ecosystem
Design and build high-quality data flow platform
End-to-end system ownership (ui, apis, backend)
We are seeking an experienced Staff Software Engineer to lead the technical direction for the data collection and its ecosystem of integrations, automations, and end-to-end observability

Job Summary

  • We are seeking an experienced Staff Software Engineer to lead the technical direction for the data collection and its ecosystem of integrations, automations, and end-to-end observability.
  • In this role, you will design and build the platform that ensures high-quality data flows from vehicles into our AI/ML and analytics stacks, with strong guarantees around data quality, traceability, and operational excellence.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, paid vacation & holidays, and more.

Matching Summary

We are seeking an experienced Staff Software Engineer to lead the technical direction for the data collection and its ecosystem of integrations, automations, and end-to-end observability.

Salary

Base: $218,800-$335,300; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs, retirement savings plan, paid vacation & holidays, tuition assistance, GM vehicle discounts and more

Skills & Requirements

Must-have

  • Lead technical direction for data collection ecosystem
  • Design and build high-quality data flow platform
  • End-to-end system ownership (UI, APIs, backend)
  • Establish end-to-end observability
  • Raise data quality and governance bar
  • Define and evolve system architecture
  • Create and standardize APIs and event schemas

Nice-to-have

  • Self-motivated and execution-oriented
  • Strong communication and influence skills
  • Experience building internal tools and platforms
  • Familiarity with data quality frameworks
  • Experience with ML or data science workflows

Key Requirements

  • Proven experience owning high-availability, mission-critical services
  • Track record of leading large technical initiatives
  • Experience designing enterprise, systems, and integration architectures
  • Strong programming experience in Python, Java, or Go
  • Experience with cloud infrastructure (GCP/Azure/AWS)
  • Experience building production-level frontend applications
  • Hands-on experience with observability tooling
  • Comfort working with data platforms
  • BS, MS, or PhD in Computer Science or equivalent practical experience

Work Rights

Not specified

Tailored Resume

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