Staff Software Engineer, Generative AI - Fremont [271840]

$200,000 - $300,000 yearly

Job Description

As a Staff Software Engineer on the Bottlerocket team, you will architect and operate the backend infrastructure that powers Tesla's internal Generative AI platform. You will own critical, high-throughput services end-to-end and drive technical decisions across the stack. This role demands deep systems expertise, you will be solving hard problems around concurrency, reliability, and scale in a fast-moving environment where the playbook is still being written.

The Role

  • Design, build, and operate production systems that handle high-throughput, low-latency workloads at scale
  • Own backend services end-to-end: from API design and data modeling through deployment, observability, and incident response
  • Drive architectural decisions for complex systems involving event streaming, caching, service mesh, and workload orchestration
  • Partner with ML engineers, product teams, and infrastructure teams to translate requirements into robust, scalable backend solutions
  • Mentor engineers across the team, establish engineering best practices, and raise the bar for code quality and system design
  • Lead capacity planning and reliability engineering to maintain high availability for business-critical services

Requirements

  • 8+ years of experience building and operating production systems
  • Strong, production-level proficiency in Go and Python
  • Deep expertise with Kubernetes, Docker, and container orchestration in production environments
  • Hands-on experience with message brokers and event streaming systems like Kafka
  • Solid background with relational and analytical databases (Postgres, ClickHouse, or similar) and caching layers (Redis)
  • Strong understanding of networking fundamentals: HTTP/2, gRPC, WebSockets, TLS, and reverse proxy architectures (Envoy)
  • Experience with observability stacks: Prometheus, Grafana, structured logging, and distributed tracing
  • Proven experience with CI/CD pipelines, GitOps workflows, and infrastructure-as-code (Helm, Terraform)
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No