Gimlet

Technology

Infrastructure/ClusterEngineer

$175–245k ~AI est. San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Infrastructure / Cluster Engineer at Gimlet. Skills: Cluster infrastructure, Heterogeneous hardware, AI inference. Design clusters. Deploy clusters”

Industry & Context.

Technology
Problems you'll solve

Debugging complex issues; Troubleshooting

What They're Looking For.

Must Have

Deep Linux systems experience, Experience operating Kubernetes, Automation skills using tools, Experience with GPU infrastructure, Familiarity with high-performance networking, Operational judgment

Nice to Have

Experience building AI inference, Experience with bare-metal provisioning, Experience with multi-tenant cluster isolation, Experience debugging distributed workload performance, Experience building observability platforms, Familiarity with heterogeneous hardware environments

What You'll Do.

Provision infrastructure

Scale provisioning systems

Operate cluster scheduling

Manage resource allocation

Debug production issues

Build networking infrastructure

Support inference workloads

Evaluate hardware platforms

Integrate accelerators

Integrate datacenter designs

Establish operational standards

Develop incident response

How You'll Work.

Team & Collaboration

Distributed systems teams; Runtime teams; Compiler teams; Hardware teams

Full Job Description

About Us Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them. The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together. Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization. We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI. ABOUT THIS ROLE We are looking for an Infrastructure / Cluster Engineer to design, build, and operate the cluster infrastructure behind Gimlet’s heterogeneous inference cloud. Unlike traditional cloud platforms built around a single hardware ecosystem, Gimlet's infrastructure spans multiple accelerator vendors and architectures. Infrastructure engineers play a key role in bringing new hardware platforms online, building the operational abstractions that make heterogeneous infrastructure manageable at scale, and ensuring new silicon can serve production workloads reliably from day one. This role is highly hands-on. You will work across bare metal, Linux, Kubernetes or cluster schedulers, high-speed networking, observability, provisioning, and incident response. You will partner closely with distributed systems, runtime, compiler, and hardware teams to ensure Gimlet’s infrastructure can support demanding AI workloads at production scale. WHAT YOU WILL WORK ON - Design, deploy, and operate large-scale CPU, GPU, and accelerator clusters powering production AI inference. - Build automation for provisioning, config

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