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About the Role
As a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud. The team owns core platform capabilities across compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling. You will work on systems that turn physical GPU infrastructure into reliable, customer-facing cloud capacity: APIs, workflows, orchestration layers, schedulers, and operational surfaces for instance lifecycle, host reclaim, validation, maintenance, and safe regional deployments. This role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary.
Responsibilities
- Build and operate core cloud platform services for compute lifecycle, bare metal hosts, capacity, placement, and maintenance workflows.
- Design reliable APIs, backend services, state machines, and orchestration systems that power Lambda’s GPU cloud.
- Work on bare metal lifecycle systems including launch, terminate, restart/reboot, host reclaim, validation, quarantine, and return-to-pool workflows.
- Improve deployment, observability, testing, alerting, runbooks, and operational readiness for business-critical control-plane services.
- Debug complex production issues across distributed services, infrastructure dependencies, networking, and cloud workflows.
- Partner with infrastructure, networking, fleet, security, support, and product teams to define cross-system contracts and deliver end-to-end cloud capabilities.
- Contribute to architecture, design docs, code reviews, incident follow-through, and mentoring across the team.
Requirements
- Bachelor's degree or equivalent working experience.
- 6+ years of professional software engineering experience building production backend or distributed systems.
- Experience designing and operating APIs, workflow engines, schedulers, orchestration services, or other distributed systems.
- Understand reliability fundamentals: fault tolerance, idempotency, retries, state machines, failure handling, and production debugging.
- Experience with cloud or cloud-like infrastructure primitives such as compute, networking, storage, capacity management, identity, or fleet operations.
- Comfortable with Linux, containers, Kubernetes, infrastructure automation, and service deployment patterns.
- Owned production services, participated in on-call, and improved systems based on operational learnings.
- Care about testability, CI/CD, observability, metrics, logging, alerting, and supportable operations.
- Can take ambiguous infrastructure problems and drive them to clear designs, implementation plans, and production outcomes.
- Communicate clearly across engineering, product, support, infrastructure teams, and leadership.
Skills
- Python
- Go
- Distributed systems
- Cloud infrastructure
- Operational excellence
- Linux
- Containers
- Kubernetes
- Infrastructure automation
- Service deployment patterns
- CI/CD
- Observability
- Metrics
- Logging
- Alerting
- Bare metal
- GPU infrastructure
- HPC
- Slurm
- AI/ML infrastructure
- Host lifecycle
- Provisioning
- Validation
- Firmware
- BMC/Redfish
- Fleet management
- Maintenance workflows
- Temporal
- Airflow
- Event-driven systems
- Durable workflow orchestration
- VPCs
- Firewalls
- SDN
- InfiniBand
- Routing
- Distributed systems networking
- Identity
- Authorization
- Audit logging
- Attestation
- Tenant isolation
Location
- San Francisco
- San Jose
Work Type
- Hybrid
Experience Level
- Senior
Education Level
- Bachelor's degree or equivalent working experience
Salary/Compensations
- The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Benefits
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
About the Company
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
Equal Opportunity
- Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.