Lambda
Staff Software Engineer - Managed Kubernetes
San Francisco Office (Fremont St) · Staff+
Sponsorship not specifiedDetected 22 days ago
PythonDistributed SystemsCloud PlatformsKubernetesLinuxPrometheusGrafanaSite Reliability EngineeringPlatform EngineeringMachine LearningIncident ResponseCustomer SuccessResearchLeadershipMentoring
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform.
- Think GKE, but purpose-built for AI workloads and running on bare metal.
- This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.
Responsibilities
- Design GPU-aware orchestration systems
- Lead development of services that power our managed services
- Inform on and help with networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect. You will work closely with our Network team to define and drive requirements
- Inform and help with storage architecture requirements for AI workloads. You will partner with Storage teams on what managed K8s, Slurm, and future services need
- Build the foundation for Managed Slurm on Kubernetes, enabling traditional HPC workloads to run seamlessly alongside Kubernetes workload
- Design higher-level platform services for inference, including model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns
- Design self-healing systems and automation for incident response, root cause analysis, and platform resilience
- Lead chaos engineering efforts to validate system behavior under failure conditions at scale
- 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
Requirements
- 10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale
- Holistic infrastructure expertise: you've synthesized knowledge across compute, networking, storage, and security, not just Kubernetes in isolation.
- Strong software engineering skills in Go (required) and Python
- Strong understanding of distributed systems principles: consensus, fault tolerance, consistency models, and graceful degradation
- Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
- Solid knowledge of Linux systems and networking (L2-L7), including high-performance networking concepts (RDMA, InfiniBand, RoCE)
- Experience with infrastructure-as-code and GitOps workflows
- You are a creative, innovative engineer who operates at high velocity.
Nice to have
- Hands-on experience with NVIDIA's open-source ecosystem beyond GPU Operator: Network Operator, NCCL tuning, Topograph, AICR, or similar emerging projects
- Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)
- Background in confidential computing
- Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects
- Familiarity with security and compliance in multi-tenant environments: RBAC, Pod Security Standards, network policies, workload isolation
- Background in ML infrastructure: training clusters, inference serving, simulation
- What makes this role special:
- NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
- Drive technical vision for Lambda's Managed Kubernetes bare-metal platform, including control plane scalability, multi-tenancy, cluster lifecycle management, and high availability
Company info
- Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
- Our customers range from AI researchers to enterprises and hyperscalers.
- Founded in 2012, with 500+ employees, and growing fast
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.
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.