Senior Platform Engineer – AV Cloud Engineering

Design clean abstractions that allow product and research teams to consume complex infrastructure, including specialized hardware such as GPUs, without deep infrastructureexpertise.

Improve platform primitives across traffic, service mesh, runtime configuration, and connectivity for distributed AV workloads.

Reduce toil and improve reliability through reusable platform tooling, declarative automation, strong service ownership, observability, and SLIs/SLOs.

Take ownership of complex platform initiatives from problem definition through design, implementation, and adoption.

Partner with adjacent AV infrastructure teams to reduce developer friction and improve the reliability of the platform AV engineersdependon.

Contribute to a healthy engineering culture through design reviews, code reviews, mentorship, and clear technical communication.

Skills & Abilities:

Required: Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.

Required: Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters.

Required: Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform.

Required: Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks.

Required: A "Growth-based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching.

Required: Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions.

Preferred: Experience with Service Mesh (Istio) and managing large-scale DNS/Traffic configurations in a global environment.

Minimum Qualifications (Must-Have)

5+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers

Bachelors Degree in Computer Science or related field OR equivalent work experience

Hands-on experience with Kubernetes in production and strong familiarity with at least one major cloud ecosystem such as GCP, AWS, or Azure.

Strong software engineering skills in Go, Python, or similar languages, with the ability to build reusable automation, services, APIs, or controllers.

Experience designing, implementing, andoperatinglarge-scale, high-availability distributed systems in production.

Preferred Qualifications

Experience with service mesh technologies such as Istio and large-scale DNS or traffic management.

Experience with GKE and the broader GCP ecosystem, including networking and IAM; equivalent experience with EKS/AWS or AKS/Azure is also valuable.

Experience supporting AI/ML workloads or working with ML platforms and relatedtoolingecosystems.

Experience owning or influencing platform SLOs and availability targets in production.

Experience driving technical strategy or cross-functional alignment across multiple teams.

Additional Context

This role is best suited for engineers who want to build an internal platform product for other engineers. It is less suited to candidates whose background is primarily ticket-driven infrastructure support or one-off environment operations.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Austin office three times per week, at minimum.

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 $170,000 to $230,000. 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.







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