Staff Engineer, Kubernetes AI Cloud Orchestration

Lambda; San Francisco (CA); Hybrid; USD 314,000 - 465,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401k with 2% company match

Wellness and commuter stipends

Equity compensation

Job summary

Lambda is seeking a Staff Engineer to lead the orchestration platform for its AI cloud. You will shape the infrastructure powering AI training and inference at scale, collaborating across compute, network, storage, and security domains.

This role involves technical leadership, designing GPU-aware orchestration, and driving cross-team initiatives. You will work with the Orchestration team, partnering with NVIDIA's ecosystem to deliver a world-class managed platform for AI workloads on bare metal.

Qualifications

• 10+ years in software/DSRE engineering with Kubernetes at scale
• Expert-level Kubernetes internals, API machinery, controllers, schedulers
• Holistic infra knowledge across compute, networking, storage, security
• Strong Go and Python production coding skills
• Deep experience with GPU orchestration in Kubernetes (NVIDIA GPU Operator, device plugins)
• Proven track record in technical leadership, mentoring, and multi-tenant platforms

Responsibilities

• Set technical direction for Kubernetes services across the Orchestration team
• Drive design sessions and ensure scalable, maintainable systems
• Mentor engineers and promote best practices in Cloud Native engineering
• Collaborate with Network, Storage, Security, and Customer Success teams
• Engage with NVIDIA and open-source communities to stay current
• Represent Lambda externally through talks and customer engagements

Skills

Kubernetes at scale

Go programming

Distributed systems

Cloud Native engineering

Leadership

Mentoring engineers

GPU orchestration

Observability

Tools

Kubernetes

NVIDIA GPU Operator

NCCL

Prometheus

Grafana

RDMA

GPUDirect

Job description

Lambda is seeking a Staff Engineer to lead the orchestration platform for its AI cloud. You will shape the infrastructure powering AI training and inference at scale, collaborating across compute, network, storage, and security domains.

This role involves technical leadership, designing GPU-aware orchestration, and driving cross-team initiatives. You will work with the Orchestration team, partnering with NVIDIA's ecosystem to deliver a world-class managed platform for AI workloads on bare metal.