Staff Site Reliability Engineer (SRE)

Co-found the SRE Practice: Translate our reliability charter into working engineering systems, adoption paths, and measurable outcomes.

Build the Paved Road: Design and build shared reliability tooling and automation for service cataloging, SLOs, error budgets, readiness evidence, and toil reduction.

Define the Standards: Establish a risk-based production reliability architecture, minimum standards, golden paths, and a time-bound exception process.

Drive Incident Excellence: Partner with Incident Management to operationalize severity, command, and response standards. Establish blameless post-incident practices and ensure corrective actions are tracked and completed.

Partner with Service Owners: Help teams classify critical services, map dependencies, identify failure modes, and establish meaningful SLIs/SLOs based on developer, vehicle, or operator outcomes.

Protect Engineering Capacity: Decline toil transfer and turn repeated manual operational work into reusable software.

Significant experience as an SRE, Production Engineer, or Infrastructure Software Engineer operating large-scale distributed systems.

Demonstrated experience taking an SRE or operational excellence program from 0 to 1, or materially improving a program in an organization with uneven reliability maturity.

Strong software engineering ability in at least one general-purpose language (Go, Python, Java, C++, etc.).

Deep systems knowledge across several domains: Linux, networking, Kubernetes, cloud infrastructure, CI/CD, or observability.

Practical, hands-on experience defining SLIs/SLOs, using error budgets, designing actionable alerts, and improving on-call health.

The ability to build consensus and drive adoption of standards across teams without taking away their ownership of the underlying services.

Sound judgment under ambiguity: you can distinguish urgent operational symptoms from the engineering work required to prevent recurrence.

Experience in autonomous vehicles, robotics, safety-relevant systems, automotive software, or another high-consequence production environment.

Experience with hybrid cloud/on-premises environments and foundational platform services.

Experience with data or ML platforms, including data freshness, distributed training, model artifacts, or model serving.

Experience building service catalogs, production-readiness automation, reliability scorecards, or policy-as-code.

Experience facilitating game days, failure injection, regional failover, or disaster-recovery exercises.

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 $172,000 to $300,000. 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.

Relocation: This job may be eligible for relocation benefits.

Remote/Hybrid: This role is based in Sunnyvale, CA or Austin, TX if you live within a 50-mile radius of an office location you are expected to report to that location three times a week, at minimum.