---
title: 'Senior Technical Recruiter at Gimlet Labs'
canonical: 'https://feeny.ai/job/senior-technical-recruiter-gimlet-labs-san-francisco-986mqegj89d1'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Technical Recruiter at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** San Francisco, CA
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-05
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/gimlet/965c51f6-41f2-4b44-9965-52ad42187af4

## 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 hiring a Senior Technical Recruiter to help build one of the most technically ambitious engineering teams in AI infrastructure. We are building systems that make heterogeneous compute work together at scale, from compiler and kernel optimization to distributed systems and production inference infrastructure. Recruiting for these teams means finding exceptional engineers who operate at the intersection of hardware, software, and performance. You will partner directly with engineering leadership to understand complex technical challenges, develop creative sourcing strategies, and engage talent who are rarely actively looking for their next opportunity. We are looking for someone who loves the craft of technical recruiting: understanding what makes an engineer exceptional, finding talent others overlook, building genuine relationships, and helping great people make consequential career decisions. What success looks like In your first 12–18 months, you will:

- Build exceptional engineering teams. Identify, engage, and close high-caliber engineers across compiler, kernel, ML infrastructure, distributed systems, and other specialized technical disciplines.
- Become a trusted partner to engineering leadership. Develop a deep understanding of the technical challenges we're solving and help hiring managers make informed decisions about talent, hiring priorities, and market opportunities.
- Build differentiated talent pipelines. Develop creative sourcing strategies, map relevant companies and engineering teams, and build relationships with exceptional engineers who are difficult to reach through traditional recruiting channels.
- Own searches from start to finish. Drive recruiting processes with urgency, strong candidate engagement, and clear accountability, from initial sourcing through offer acceptance.
- Raise the quality of our hiring process. Partner with interviewers to improve evaluation consistency, candidate experience, and decision-making while maintaining a high technical bar.
- Help scale the Talent Acquisition function. Identify opportunities to improve our tools, workflows, and sourcing practices, building processes that make the team more effective as Gimlet grows.

You may be a good fit if you have

- 5+ years of technical recruiting experience, with a track record of hiring exceptional engineers in competitive talent markets.
- Experience recruiting across specialized engineering disciplines such as compilers, kernels, ML infrastructure, distributed systems, networking, or HPC.
- Strong technical curiosity and the ability to understand complex engineering domains beyond matching keywords.
- Exceptional sourcing skills, with demonstrated success identifying, engaging, and closing passive talent.
- Strong judgment in evaluating engineering talent and partnering with technical leaders on hiring decisions.
- High ownership and the ability to independently drive searches from sourcing strategy through offer acceptance in a fast-moving environment.

Strong candidates may also have

- Direct experience recruiting compiler, GPU kernel, or low-level performance engineers.
- Experience hiring for AI infrastructure, high-performance computing, or distributed systems teams.
- A strong network within specialized engineering communities and a track record of engaging hard-to-reach talent.
- Experience building recruiting strategies and processes at early-stage or high-growth technology companies

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

- [Data Center Architect](https://feeny.ai/job/data-center-architect-gimlet-labs-san-francisco-r8yafpasxbwr) — San Francisco, CA
- [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
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- [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
- [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