Description
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
We are seeking a Staff Engineer to help develop our Managed Kubernetes platform, a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.
As a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps.
Responsibilities
- Product Engineering:
- Drive technical vision for Lambda's Managed Kubernetes bare-metal platform
- Integrate and extend NVIDIA's open-source ecosystem
- Design GPU-aware orchestration systems
- Lead development of services that power our managed services
- Inform on and help with networking solutions for AI workloads
- Inform and help with storage architecture requirements for AI workloads
- Build the foundation for Managed Slurm on Kubernetes
- Design higher-level platform services for inference
- Design self-healing systems and automation for incident response
- Lead chaos engineering efforts to validate system behavior under failure conditions at scale
- Establish operational excellence for a managed service
- Cross-Functional Infrastructure Leadership:
- Serve as the technical bridge between Orchestration and other infrastructure teams
- Drive infrastructure-wide decisions that enable successful managed services
- Provide input on bare-metal provisioning, network topology, and storage systems
- Champion consistency and standardization across Lambda's infrastructure stack
- Work directly with customers and internal teams to understand existing deployments
- Technical Leadership:
- Set technical direction for Kubernetes services across the Orchestration team
- Drive reviews and design sessions
- Mentor and grow engineers
- Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams
- Engage with NVIDIA and the open-source community
- Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements
Requirements
- 10+ years of experience in software engineering, platform engineering, or SRE
- Expert-level understanding of Kubernetes internals
- Holistic infrastructure expertise
- Strong software engineering skills in Go and Python
- Deep experience with GPU orchestration in Kubernetes
- Proven track record of technical leadership
- Deep experience designing and operating managed services or multi-tenant platforms
- Strong understanding of distributed systems principles
- Experience with observability at scale
- Solid knowledge of Linux systems and networking
Preferred Qualifications
- Experience building and operating managed Kubernetes services
- Hands-on experience with NVIDIA's open-source ecosystem
- Familiarity with HPC and traditional job schedulers
- Background in confidential computing
- Experience migrating customers or workloads from legacy/bespoke infrastructure
- Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects
- Familiarity with security and compliance in multi-tenant environments
- Background in ML infrastructure
For more fresh new jobs, check out yubhub.co.