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About the Role
Lambda’s Core Cloud Platform organization builds the software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations. The immediate focus for this role includes evolving Lambda’s Managed Kubernetes platform: making it easier and safer to provision, upgrade, operate, and scale Kubernetes clusters for demanding AI workloads.
Responsibilities
- Lead the design, implementation, and production operation of foundational cloud-platform services.
- Own the technical roadmap for making the platform more distributed, resilient, observable, and operationally efficient.
- Ensure the platform operates reliably across a growing multi-datacenter and multi-region fleet, including appropriate handling of partial failures and long-running workflows.
- Partner with senior and staff engineers to make sound architectural decisions across distributed services, stateful systems, APIs, schedulers, controllers, and automation.
- Define clear contracts and integration patterns between the cloud platform and the compute, networking, fleet, security, and customer-facing systems around it.
- Lead and grow a team of senior and staff engineers; hire exceptionally, develop people, maintain a high-performance bar, and address underperformance directly.
- Own project planning, prioritization, and delivery aligned with Lambda’s business objectives and customer commitments.
- Establish strong engineering practices across design reviews, testing, CI/CD, observability, incident response, and on-call operations.
- Collaborate with peer Engineering Managers and cross-functional partners to resolve dependencies and deliver complete customer outcomes.
- Improve engineering leverage through automation, effective operating mechanisms, and responsible use of AI-assisted engineering.
- Stay current with developments in Kubernetes, cloud-native infrastructure, GPU orchestration, and platform automation, and apply them where they materially improve Lambda’s platform.
Requirements
- 4+ years of engineering management experience with a demonstrated track record of growing high-performing teams
- 7+ years of software engineering IC experience, including principal or staff-level ownership of mission-critical distributed systems
- 8+ years implementing business-critical services in Python or Go, from conception through production
- Experience building systems that coordinate across multiple independently-owned infrastructure services (compute, networking, storage) without owning them directly
- Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
- Strong track record of owning projects end-to-end: architecture, delivery, operations, and continuous improvement
- Excellent cross-functional collaboration - proven ability to drive alignment across infrastructure, platform, and product teams
Skills
- Python
- Go
- Kubernetes
- Cloud-native infrastructure
- GPU orchestration
- Platform automation
- Distributed systems
- NVIDIA NiCo (NCX Infra Controller)
- BlueField DPU capabilities
- Slurm
Location
- San Francisco
- San Jose
- Bellevue
Work Type
- Hybrid
Experience Level
- Engineering Manager
- Senior
- Staff
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
- 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.
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- Founded in 1998, 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.