Gimlet Labs, Inc. Jobs Hiring Now
Gimlet Labs, Inc. is hiring for 5 open roles on Migrate Mate as of July 16, 2026, concentrated in compliance & legal and cloud & DevOps, with listed salaries up to about $335,000. Migrate Mate updates Gimlet Labs, Inc.'s live openings daily. Gimlet Labs, Inc. is an artificial intelligence infrastructure company building tools and platforms for deploying machine learning models at scale.
Find Gimlet Labs, Inc. JobsOverview
Gimlet Labs, Inc. hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 5
- Top team
- Compliance & Legal
- Seniority
- Mid to senior level
- Work type
- 0% remote or hybrid
- Top location
- San Francisco
- Salary range
- $250,000–$335,000
Listed salaries for Gimlet Labs, Inc. roles on Migrate Mate range from about $250,000 to $335,000 per year across 5 open roles, as of July 16, 2026.
Open Roles at Gimlet Labs, Inc.
Showing 5 of 5+ Gimlet Labs, Inc. jobs
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, configuration, upgrades, validation, and lifecycle management.
- Design and scale provisioning systems for heterogeneous bare-metal infrastructure across multiple datacenters and hardware vendors.
- Operate cluster scheduling, resource allocation, isolation, quotas, and utilization systems.
- Debug complex production issues across Linux, networking, storage, drivers, firmware, and orchestration layers.
- Build and operate high-performance networking infrastructure, including RDMA-enabled environments and accelerator interconnects.
- Build observability for cluster health, capacity, performance, failures, and workload behavior.
- Improve reliability, availability, and recovery across multi-node production systems.
- Work with distributed systems and runtime teams to support low-latency, high-throughput inference workloads.
- Evaluate and integrate new hardware platforms, accelerators, networking technologies, and datacenter designs.
- Create runbooks, operational standards, and incident response practices as the fleet scales.
You may be a good fit if
- Experience in infrastructure, cluster engineering, platform engineering, SRE, HPC, or distributed systems.
- Deep Linux systems experience, including debugging performance, networking, storage, processes, and kernel-level issues.
- Experience operating Kubernetes, Slurm, Nomad, or similar orchestration and scheduling systems.
- Strong automation skills using tools such as Terraform, Ansible, Helm, Python, Go, or equivalent.
- Experience with GPU or accelerator infrastructure, including drivers, firmware, CUDA/ROCm stacks, or hardware validation.
- Familiarity with high-performance networking such as InfiniBand, RoCE, high-speed Ethernet, or datacenter fabrics.
- Strong operational judgment: you know how to build systems that are observable, recoverable, and boring in production.
- Comfort working in a fast-moving startup environment with high ownership and ambiguity.
Strong candidates may also have
- Experience building or operating AI inference, training, HPC, or neocloud infrastructure.
- Experience with bare-metal provisioning, PXE/iPXE, image pipelines, BIOS/firmware management, or rack bring-up.
- Experience with multi-tenant cluster isolation, quota systems, fair scheduling, or usage accounting.
- Experience debugging distributed workload performance across compute, memory, network, and storage bottlenecks.
- Experience building observability platforms using technologies such as Prometheus, OpenTelemetry, Grafana, or similar tooling.
- Familiarity with heterogeneous hardware environments across NVIDIA, AMD, Intel, ARM, or emerging accelerators.
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, configuration, upgrades, validation, and lifecycle management.
- Design and scale provisioning systems for heterogeneous bare-metal infrastructure across multiple datacenters and hardware vendors.
- Operate cluster scheduling, resource allocation, isolation, quotas, and utilization systems.
- Debug complex production issues across Linux, networking, storage, drivers, firmware, and orchestration layers.
- Build and operate high-performance networking infrastructure, including RDMA-enabled environments and accelerator interconnects.
- Build observability for cluster health, capacity, performance, failures, and workload behavior.
- Improve reliability, availability, and recovery across multi-node production systems.
- Work with distributed systems and runtime teams to support low-latency, high-throughput inference workloads.
- Evaluate and integrate new hardware platforms, accelerators, networking technologies, and datacenter designs.
- Create runbooks, operational standards, and incident response practices as the fleet scales.
You may be a good fit if
- Experience in infrastructure, cluster engineering, platform engineering, SRE, HPC, or distributed systems.
- Deep Linux systems experience, including debugging performance, networking, storage, processes, and kernel-level issues.
- Experience operating Kubernetes, Slurm, Nomad, or similar orchestration and scheduling systems.
- Strong automation skills using tools such as Terraform, Ansible, Helm, Python, Go, or equivalent.
- Experience with GPU or accelerator infrastructure, including drivers, firmware, CUDA/ROCm stacks, or hardware validation.
- Familiarity with high-performance networking such as InfiniBand, RoCE, high-speed Ethernet, or datacenter fabrics.
- Strong operational judgment: you know how to build systems that are observable, recoverable, and boring in production.
- Comfort working in a fast-moving startup environment with high ownership and ambiguity.
Strong candidates may also have
- Experience building or operating AI inference, training, HPC, or neocloud infrastructure.
- Experience with bare-metal provisioning, PXE/iPXE, image pipelines, BIOS/firmware management, or rack bring-up.
- Experience with multi-tenant cluster isolation, quota systems, fair scheduling, or usage accounting.
- Experience debugging distributed workload performance across compute, memory, network, and storage bottlenecks.
- Experience building observability platforms using technologies such as Prometheus, OpenTelemetry, Grafana, or similar tooling.
- Familiarity with heterogeneous hardware environments across NVIDIA, AMD, Intel, ARM, or emerging accelerators.
Job Roles at Gimlet Labs, Inc.
Working at Gimlet Labs, Inc.
Gimlet Labs, Inc.'s 5 open roles are mid to senior level, and about 0% are remote or hybrid. The most active teams are compliance & legal, cloud & DevOps, and IT support & systems administration. Gimlet Labs, Inc. develops AI infrastructure software that helps organizations run and manage machine learning workloads in production environments. Its open roles span legal, security and compliance, network engineering, cluster infrastructure, and technical project management, reflecting a company building out both its technical systems and its corporate functions. Most Gimlet Labs, Inc. roles are based in San Francisco.
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Browse jobs by roleGimlet Labs, Inc. Jobs: Frequently Asked Questions
How many jobs is Gimlet Labs, Inc. hiring for right now?
Gimlet Labs, Inc. is hiring for 5 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in compliance & legal and cloud & DevOps. Roles span technical infrastructure, security, legal, and project management functions, with most postings at mid to senior level.
What kinds of roles does Gimlet Labs, Inc. hire for?
The most active teams are compliance & legal, cloud & DevOps, and IT support & systems administration. Gimlet Labs, Inc.'s open positions include infrastructure and cluster engineering, network engineering, security and compliance, legal counsel, and technical project management. Most postings are mid to senior level, reflecting a company staffing specialized technical and operational functions rather than entry-level pipelines.
Are Gimlet Labs, Inc. jobs remote or in-person?
Mostly on-site. About 0% of Gimlet Labs, Inc.'s open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in San Francisco. Each Gimlet Labs, Inc. listing shows its work location so you can filter before applying.
How do I apply to a job at Gimlet Labs, Inc.?
Find a Gimlet Labs, Inc. role on Migrate Mate, then follow the listing directly through to Gimlet Labs, Inc.'s own application process. Gimlet Labs, Inc. manages its own hiring, so your application, interviews, and offer all run through the company directly. Migrate Mate keeps Gimlet Labs, Inc.'s listings current so you're always seeing active openings.
What do Gimlet Labs, Inc. jobs pay?
Listed salaries for Gimlet Labs, Inc. roles on Migrate Mate range from about $250,000 to $335,000 per year as of July 16, 2026, with most postings at mid to senior level. Exact pay is set by Gimlet Labs, Inc. and shown on each listing.
Does Gimlet Labs, Inc. hire entry-level?
Most of Gimlet Labs, Inc.'s open roles on Migrate Mate are mid to senior level as of July 16, 2026. Entry-level openings are limited. Check individual Gimlet Labs, Inc. listings for stated experience requirements.
Where is Gimlet Labs, Inc. hiring?
Most Gimlet Labs, Inc. roles are based in San Francisco, and about 0% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.