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About the Role
As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. You will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be a full-cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement. This role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries.
Responsibilities
- Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud.
- Solve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management.
- Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.
- Improve system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude.
- Turn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops.
- Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.
- Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.
- Contribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.
Requirements
- 7 or more years of professional software engineering experience, or equivalent evidence of impact building production systems.
- Depth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best.
- Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.
- Practical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production.
- A track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement.
- Proven track record of aligning cross functional partners and gaining consensus around decisions and tradeoffs.
Skills
- Go
- Python
- Kubernetes
- container orchestration
- schedulers
- controllers
- cloud control-plane systems
- infrastructure automation
- durable workflow systems
- event-driven architectures
- infrastructure as code
- highly available systems
- multi-region systems
- rapidly scaling distributed systems
- GPU infrastructure
- HPC environments
- large-scale AI/ML training and inference workloads
Location
- San Francisco
- San Jose
- Bellevue
Work Type
- Hybrid
Experience Level
- Senior
- Staff
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
- 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
- Have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- 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.