---
title: 'Data Center Architect at Gimlet Labs'
canonical: 'https://feeny.ai/job/data-center-architect-gimlet-labs-san-francisco-r8yafpasxbwr'
type: 'job'
last_seen: '2026-10-19'
---

# Data Center Architect at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** San Francisco, CA
- **Compensation:** $225k–$280k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/gimlet/9ab8d894-2102-4ca5-a011-45376a44824c

## 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 a Data Center Architect to turn compute requirements into buildable data hall designs for new colocation sites and expansions. This is a centralized senior individual-contributor role with ownership across four areas: white-space design, infrastructure fit, physical network architecture, and design handoff. Your primary deliverable is an approved, coordinated design package that defines what goes where, how it connects, and the power and cooling infrastructure it requires. You will translate equipment configurations and capacity plans into floor plans, rack layouts, and physical connectivity designs that deployment teams can execute. As Gimlet’s technical authority for data hall design, you will approve designs, resolve tradeoffs within your scope, and establish repeatable standards across our global portfolio. You will work closely with compute and network engineers, facilities teams, colocation providers, and deployment teams to resolve issues before installation begins. You will also contribute to consultant reviews, RFPs, cost reviews, and commissioning where they relate to the data hall design.

## What you will work on

- White-space design: Own floor plans and rack layouts, including equipment placement, aisle widths, service clearances, containment, cable pathways, and expansion space. Confirm access and floor-loading constraints with providers and maintain reusable layout standards.
- Infrastructure fit: Translate equipment specifications into rack-level and aggregate IT power and cooling requirements. Verify that provider capacity, redundancy, and connection points support the deployment, and coordinate cooling equipment placement and distribution routes with specialists.
- Physical network architecture: Define network equipment placement, physical connections between rack groups and network layers, fiber routes, patching locations, and redundant pathways. Partner with network engineering to align these designs with capacity requirements and the detailed logical network design.
- Design handoff: Deliver coordinated floor plans, rack layouts, connectivity drawings, equipment schedules, and power and cooling requirements. Review design changes, resolve installation questions, and maintain drawings that reflect the installed configuration.

You may be a good fit if

- You have owned data center white-space designs from initial requirements through installation handoff.
- You can produce floor plans and rack layouts that balance equipment density, serviceability, containment, cabling, power, cooling, and future growth.
- You can interpret electrical and mechanical drawings, translate equipment specifications into infrastructure requirements, and work with specialists to identify and resolve capacity gaps.
- You understand the practical constraints of high-density deployments within colocation facilities, including equipment access, cable management, and ongoing operations.
- You understand data center network layers well enough to plan equipment placement, physical connectivity, fiber pathways, and resilience. Detailed routing-protocol design and switch configuration expertise are not required.
- You can author and review layouts using AutoCAD, Bluebeam, or equivalent tools, and maintain clear equipment schedules, design requirements, and revision records.
- You make sound design tradeoffs across capacity, reliability, serviceability, cost, and growth, and communicate decisions clearly to providers, engineers, and installation teams.

Strong candidates may also have

- Experience with high-density AI or HPC infrastructure, GPU racks, or heterogeneous compute platforms.
- Experience with direct-to-chip liquid cooling, CDUs, facility water interfaces, or hybrid air- and liquid-cooled deployments.
- Experience evaluating colocation sites and aligning customer equipment requirements with provider electrical and mechanical infrastructure.
- Experience with Revit or other BIM tools, DCIM systems, and capacity-planning tools.
- Familiarity with TIA-942, BICSI, and ASHRAE guidance, and experience coordinating applicable code requirements with qualified design professionals.

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

- [Strategic Hardware Partnerships](https://feeny.ai/job/strategic-hardware-partnerships-gimlet-labs-san-francisco-jejbz21kqgaq) — San Francisco, CA
- [Senior Technical Recruiter, Data Center Infrastructure](https://feeny.ai/job/senior-technical-recruiter-data-center-infrastructure-gimlet-labs-san-francisco-3zf71nc0pbxb) — San Francisco, CA
- [Project Coordinator, Hardware Partnerships](https://feeny.ai/job/project-coordinator-hardware-partnerships-gimlet-labs-san-francisco-hejkv5rg583s) — San Francisco, CA
- [Director of FP&A](https://feeny.ai/job/director-of-fp-a-gimlet-labs-san-francisco-psy3hbxwgse0) — San Francisco, CA
- [Corporate Controller](https://feeny.ai/job/corporate-controller-gimlet-labs-san-francisco-6mfgwjj1xtkr) — San Francisco, CA
- [Executive Business Partner](https://feeny.ai/job/executive-business-partner-gimlet-labs-san-francisco-5z7qmxc97ejn) — San Francisco, CA
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- [Member of Technical Staff - Infrastructure](https://feeny.ai/job/member-of-technical-staff-infrastructure-gimlet-labs-san-francisco-qcnrg15q2g6j) — San Francisco, CA
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- [Network Engineer](https://feeny.ai/job/network-engineer-gimlet-labs-san-francisco-cv8srbgaka6c) — San Francisco, CA