Lambda
Senior Software Enginering - Mk8S/Control Plane
San Francisco Office (Fremont St) · Senior
Sponsorship not specifiedDetected 22 days ago
PythonGoDistributed SystemsCloud PlatformsKubernetesLinuxPrometheusGrafanaMachine LearningResearch
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odds of building a lasting career here
37Risky
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 Senior Software Engineer to join our Managed Kubernetes (Mk8s) team.
- You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.
- We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform.
Responsibilities
- Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers
- develop automation in Go/Python for end-to-end cluster lifecycle management - provisioning, upgrades, patching, and deletion
- Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation
- Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect
- Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns
- Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services
- Support and debug production issues through on-call rotation
- 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
- Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
- Solid knowledge of Linux systems, networking, containers, and cloud infrastructure
- Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
Nice to have
- Hands-on experience with NVIDIA's GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar
- Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)
- Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes
- Exposure to storage architecture for AI/ML workloads
- Past contributions to CNCF projects or Kubernetes SIGs a plus
- If you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
- 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
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.
- About the Role We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team.
- 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.