Senior Software Engineer (AI Cloud Infrastructure)

TL;DR

Senior Software Engineer (AI Cloud Infrastructure): Build control-plane systems for Lambda’s GPU cloud, turning physical GPU infrastructure into reliable customer-facing capacity with an accent on distributed orchestration, schedulers, and operational tooling. Focus on designing robust APIs, workflow engines, and state-machine-driven lifecycle automation while improving reliability, observability, and production readiness.

Location: Hybrid — must be present in the San Francisco/San Jose office 4 days per week; work from home day is currently Tuesday.

Salary: $296K–$346K (annual)

Company

Lambda builds AI cloud infrastructure to make compute as ubiquitous as electricity.

What you will do

• Build and operate core cloud platform services for compute lifecycle, bare metal hosts, capacity, placement, and maintenance workflows.
• Design reliable backend services, APIs, state machines, and orchestration systems for GPU cloud control-plane operations.
• Own bare metal lifecycle workflows including launch, terminate, restart/reboot, host reclaim, validation, quarantine, and return-to-pool.
• Improve deployment readiness through observability, testing, alerting, runbooks, and operational tooling for business-critical services.
• Debug complex production issues across distributed services, infrastructure dependencies, networking, and cloud workflows.
• Partner across infrastructure, networking, fleet, security, support, and product teams to define cross-system contracts and deliver end-to-end capabilities.

Requirements

• 6+ years of professional software engineering experience building production backend or distributed systems.
• Strong in Python, Go, or a similar backend/system language.
• Experience designing and operating APIs, workflow engines, schedulers, orchestration services, or other distributed systems.
• Strong reliability fundamentals: fault tolerance, idempotency, retries, state machines, failure handling, and production debugging.
• Comfort with Linux, containers, Kubernetes, infrastructure automation, and service deployment patterns.
• Experience owning production services and participating in on-call, with improvements driven by operational learnings.

Culture & Benefits

• Hybrid schedule with required in-office presence 4 days per week; designated work-from-home day is Tuesday.
• Health, dental, and vision coverage for employees and dependents.
• 401k plan with 2% company match for USA employees.
• Flexible paid time off plan that employees actually use.
• Generous cash and equity compensation.