---
title: 'Senior Data Center Technician at Gimlet Labs'
canonical: 'https://feeny.ai/job/senior-data-center-technician-gimlet-labs-oklahoma-city-kxnww3x9tcw7'
type: 'job'
last_seen: '2026-09-14'
---

# Senior Data Center Technician at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** Oklahoma City, OK
- **Compensation:** $120k–$155k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-20
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/gimlet/3e43d9c8-7e22-47a5-98c4-6e384e2e4ed8

## Job description

## About us

Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference. We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it. We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.

## About the role

Gimlet Labs is seeking Data Center Technicians to support daily data center operations; hardware deployments, and site bring-ups across Gimlet's growing infrastructure footprint. These roles are hands-on positions for people closest to the physical systems that power Gimlet's AI infrastructure. You will rack, stack, cable, label, validate, troubleshoot, repair, document, and maintain high density compute infrastructure. You will work closely with Site Managers, Deployment Leads, Network Deployment Engineers, Logistics, vendors, and remote-hands teams to keep capacity moving from planned to production-ready. This role is well-suited for a hands-on technician who takes pride in physical quality, moves with urgency, documents clearly, and wants to grow with a fast-scaling infrastructure team.

## What you will work on

- Execute rack, stack, cable, labeling, hardware deployment, site expansion, and audit work for current and future Gimlet sites.
- Troubleshoot servers, GPUs, storage, network links, optics, cabling, BMC/IPMI, firmware, and Linux-based systems.
- Perform break/fix work, component swaps, RMA support, hands-on testing, ticket closure, and operational maintenance.
- Maintain accurate asset records, rack elevations, cabling documentation, inventory records, spares tracking, and site notes.
- Support network turn-ups and validation work with Network Deployment Engineers, including optics, cabling paths, patching, and interface checks.
- Follow runbooks, checklists, safety practices, and data center procedures while helping improve them as the environment scales.
- Communicate status, blockers, risks, and completion evidence clearly to site leadership and deployment teams.
- Participate in maintenance windows, urgent site work, and on-call or escalation coverage as needed.

You may be a good fit if you have

- Hands-on experience in data center, IT hardware, lab, field service, or infrastructure operations
- Experience with servers, racks, PDUs, copper and fiber cabling, optics, and physical deployment standards
- The ability to troubleshoot methodically, document findings, and close work with clear evidence
- Familiarity with Linux, BMC/IPMI, firmware, BIOS, PXE, or hardware-validation workflows
- Strong attention to safety, physical quality, and operational documentation
- The ability to work in an active data center and support occasional off-hours maintenance

Strong candidates may also have

- Experience with GPU clusters, liquid cooling, HPC, AI infrastructure, or high-density compute
- Experience with fiber handling, structured cabling, optics, and network patching
- Familiarity with ticketing, asset-management, inventory, DCIM, or CMDB systems
- Bash or Python scripting experience for validation, inventory, or operational checks
- Familiarity with colocation access, remote-hands workflows, and site-acceptance procedures

Why join now? Gimlet is expanding from its core technology into a production neocloud spanning new hardware, customers, and data centers.

- Solve hard problems.
- Own meaningful work.
- Build for production.
- Help define what’s next.

Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.

## About Gimlet Labs

## Company Overview
- **One-liner**: Gimlet Labs is an applied research lab building next-generation AI infrastructure, specifically a multi-silicon inference cloud that optimizes and orchestrates AI agent workloads across diverse hardware.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Zain Asgar (CEO), Michelle Nguyen, Natalie Serrino, Omid Azizi

## Core Business
- **Primary industry**: AI Infrastructure / Software Development
- **Target customers**: Large AI model labs, data centers, and enterprises running complex AI agent workloads (B2B, Enterprise).
- **Mission or purpose statement**: To build next-generation AI infrastructure that makes AI workloads 10x more efficient by intelligently orchestrating them across diverse hardware.

## Products & Services
- **Gimlet Cloud**: A serverless inference platform for AI agents. It allows users to run everything from simple agents to complex multi-agent systems with custom logic and data sources. The platform handles scheduling, orchestration, and optimization across diverse hardware. [gimletlabs.ai](https://gimletlabs.ai/)
- **kforge**: An autonomous kernel generation tool that creates optimized low-level kernels directly from PyTorch. It uses a multi-agent system to explore designs, enforce correctness, and identify the fastest kernels for backends like CUDA, ROCm, and Metal. [gimletlabs.ai](https://gimletlabs.ai/)
- **Multi-Silicon Inference Cloud**: A software layer that allows AI workloads to be simultaneously run across diverse types of hardware (CPUs, GPUs, high-memory systems), splitting work to use the best chip for each portion of the model. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $92M (Seed: $12M led by Factory; Series A: $80M led by Menlo Ventures). The company publicly launched with eight-figure revenues (at least $10M). [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Notable Investors/Partners**: Menlo Ventures (Series A lead), Factory (Seed lead), Eclipse Ventures, Prosperity7, Triatomic. Angel investors include Sequoia’s Bill Coughran, Stanford Professor Nick McKeown, former VMware CEO Raghu Raghuram, and Intel CEO Lip-Bu Tan. Chip partners include NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Growth Signals**: The company publicly launched with eight-figure revenues (at least $10M). Customer base has more than doubled in the last four months, including a major model maker and a large cloud computing company. Headcount has grown 966.7% year-over-year to 25-30 employees. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/) [linkedin.com](https://www.linkedin.com/company/gimletlabs)

## Competitive Advantages
- **Multi-Silicon Orchestration**: The only platform that can simultaneously run AI workloads across diverse hardware (CPUs, GPUs, high-memory systems), splitting models to use the best chip for each portion. This claims to improve inference speed by 3x-10x for the same cost and power. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Autonomous Kernel Generation (kforge)**: Uses AI agents to automatically generate optimized low-level kernels from PyTorch, supporting CUDA, ROCm, and Metal without manual coding. [gimletlabs.ai](https://gimletlabs.ai/)
- **Deep Research Focus**: As an applied research lab, they are working on cutting-edge problems like universal AI compilers, SLA-aware scheduling, and headless hardware architectures, giving them a long-term technological moat. [gimletlabs.ai](https://gimletlabs.ai/)
- **Strong Founding Team**: Founders have deep expertise in systems and infrastructure, with a prior successful exit (Pixie Labs acquired by New Relic). [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Strategic Focus
- **Productizing Research**: Translating cutting-edge research (universal AI compilers, autonomous kernel generation) into commercial products like Gimlet Cloud and kforge. [gimletlabs.ai](https://gimletlabs.ai/)
- **Scaling the Multi-Silicon Cloud**: Expanding their inference cloud to serve the largest AI model labs and data centers, with a focus on efficiency and cost reduction. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Talent Acquisition**: Aggressively hiring across AI research, kernel/GPU performance, compilers, distributed systems, and business operations to support rapid growth. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/gimlet)

## Why Work Here
- **Cutting-Edge Research & Engineering**: Work on fundamental AI infrastructure problems—autonomous kernel generation, universal AI compilers, and multi-silicon orchestration—alongside PhD-level researchers and top-tier engineers. [gimletlabs.ai](https://gimletlabs.ai/join_us)
- **High-Growth Environment**: The company has grown nearly 10x in headcount over the past year and is backed by top-tier VCs (Menlo Ventures, Sequoia angels). This is an early-stage opportunity with significant impact. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
- **Fast-Moving Team**: Described as a "fast moving team with both AI research and industry expertise," looking for "builders" who love rapid prototyping. [gimletlabs.ai](https://gimletlabs.ai/join_us)
- **Location**: Based in San Francisco, California. The office is at 255 Potrero Ave. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
- **Culture**: The company values researchers, builders, and strategists. The team includes alumni from Pixie Labs, Amazon, Google, AMD, Intel, and Groq. [linkedin.com](https://www.linkedin.com/company/gimletlabs)

## Sources
1. [gimletlabs.ai](https://gimletlabs.ai/)
2. [gimletlabs.ai/join_us](https://gimletlabs.ai/join_us)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/gimlet)
4. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
5. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Other roles at Gimlet Labs

- [Legal Intern](https://feeny.ai/job/legal-intern-gimlet-labs-san-francisco-vtsddyacfzbg) — San Francisco, CA
- [Developer Relations](https://feeny.ai/job/developer-relations-gimlet-labs-san-francisco-cj7gkrh6ec11) — San Francisco, CA
- [Executive Business Partner](https://feeny.ai/job/executive-business-partner-gimlet-labs-san-francisco-5z7qmxc97ejn) — San Francisco, CA
- [Data Center Facilities Operations Lead](https://feeny.ai/job/data-center-facilities-operations-lead-gimlet-labs-san-francisco-btk5mb65ej0p) — San Francisco, CA
- [Member of Technical Staff - Infrastructure](https://feeny.ai/job/member-of-technical-staff-infrastructure-gimlet-labs-san-francisco-qcnrg15q2g6j) — San Francisco, CA
- [Member of Security Staff, Governance, Risk and Compliance](https://feeny.ai/job/member-of-security-staff-governance-risk-and-compliance-gimlet-labs-san-kd7qf2nv1ktq) — San Francisco, CA
- [Network Engineer](https://feeny.ai/job/network-engineer-gimlet-labs-san-francisco-cv8srbgaka6c) — San Francisco, CA
- [Senior Talent Acquisition Partner](https://feeny.ai/job/senior-talent-acquisition-partner-gimlet-labs-san-francisco-986mqegj89d1) — San Francisco, CA
- [Member of Technical Staff - ML Systems & Inference](https://feeny.ai/job/member-of-technical-staff-ml-systems-inference-gimlet-labs-san-francisco-3evwhsfdmz02) — San Francisco, CA
- [Member of Technical Staff - Kernels & GPU Performance](https://feeny.ai/job/member-of-technical-staff-kernels-gpu-performance-gimlet-labs-san-francisco-xth81fwe6xsz) — San Francisco, CA