Staff / Sr. Staff Kubernetes Platform Engineer, Infrastructure (GroqMetal)
Groq · San Francisco, United States · New York, United States · Dallas, United States
Infrastructureonsitestaff / senior staff
At a glance
Highlights
- Turn large-scale physical compute into reliable customer AI infrastructure.
- Lead design of platform powering large-scale AI training and inference workloads.
- Design stable platform APIs decoupling customer experience from backend changes.
Ideal candidate
A deeply hands-on software engineer and technical leader who thrives in ambiguity and loves turning complex physical infrastructure into simple, reliable products. Collaborative and product-minded, partnering across teams to build stable systems.
Requirements
- Strong experience designing, building, testing, shipping and maintaining production software
- Deep Kubernetes platform engineering experience including operators, CRDs and cluster services
- Strong distributed-systems background spanning consistency, fault tolerance and recovery
- Experience with full infrastructure SDLC including testing, CI/CD, rollout and observability
- Experience supporting AI workloads or commercializing GPU clusters at hyperscale
- remote policy
- Remote temporarily until local office opens, then onsite
Lab profile
About Groq
Built LPU silicon and cloud platform delivering world's fastest AI inference at scale.
What they build
- LPU AI inference processor
- GroqCloud inference platform
Known for
- World's fastest inference at scale
- Purpose-built silicon for AI inference
- Silicon-to-cloud production infrastructure
Key facts
- Founded in 2016
- Headquartered in Mountain View, California
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