JobsStaff Software Engineer, Distributed Systems, Generative AI
Staff Software Engineer, Distributed Systems, Generative AI
TeslaStaff Software Engineer, Distributed Systems, Generative AI
TeslaLocation
Fremont, CA
Type
Full-time
Posted
6/2/2026
Compensation
$200,000 - $300,000 a year
Undergraduate with 5+ Years of Experience
Approval 99.3%·Filings 1,102·New hires 320·
💎 Strong Sponsor
·FY 2025Job description
As a Staff Software Engineer on the Bottlerocket team, you will design and operate the backend infrastructure for Tesla's Generative AI platform. This role requires extensive experience in building distributed systems and making architectural decisions to ensure high availability and reliability.
Requirements
- 8+ years of experience building and operating production distributed 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 (Kafka, NATS, or similar)
- 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, NGINX)
- 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)
- Proficient in leveraging AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development
- Demonstrated ability to navigate ambiguity, make pragmatic tradeoffs, and deliver in environments where standards are still emerging
Responsibilities
- Design, build, and operate production distributed 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
Benefits
- Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.
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