---
title: 'Senior Technical Recruiter at Normal Computing Corporation'
canonical: 'https://feeny.ai/job/senior-technical-recruiter-normal-computing-corporation-silicon-valley-888xywk6gmt7'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Technical Recruiter at Normal Computing Corporation

- **Company:** Normal Computing Corporation
- **Location:** Silicon Valley
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/normalcomputing/257bbd5b-7fdd-4aac-ba5d-c346cd343669

## Job description

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.

## The Role

Recruiting for Normal is a specialist's craft several times over. AI/ML researchers, silicon hardware engineers, and sdk engineering. Each small candidate pools where every strong person is fielding multiple offers — and the people you're hunting can smell a recruiter who doesn't speak their language. As a Technical Recruiter, you will own full-cycle recruiting across a broad range of Normal's roles: AI/ML research, software engineering, silicon hardware (architects, RTL and DV engineers, physical design, bring-up), and the G&A roles that keep a scaling company running. You will partner directly with hiring managers who are themselves deep in their craft, source candidates who aren't looking, and close people who have every option. This is a seat on a small talent team where your searches directly determine whether a chip tapes out and a deployment ships on schedule.

## What You'll Own

- Full-Cycle Recruiting: Manage the end-to-end recruitment process across AI/ML, silicon and ASIC, and software engineering roles from intake through close, flexing to G&A searches as priorities shift.
- Strategic Sourcing: Identify and engage top-tier talent across AI research, unconventional silicon architecture, design verification, and forward-deployed engineering: people who are rarely on the market and need a reason to talk.
- Hiring Manager Partnership: Act as a strategic partner to hiring managers across engineering, research, and business functions, aligning on candidate qualifications, technical bars, and calibration as searches evolve.
- Process Discipline: Run the WHO Method for talent calibration and maintain high-efficiency interview loops, targeting 4-5 rounds maximum so great candidates don't die in process.
- ATS Ownership: Maintain impeccable data hygiene and pipeline flow in Ashby: clean stages, honest statuses, reporting the team can trust.
- Brand Ambassadorship: Represent Normal Computing at industry events like DAC, engaging specialized candidates in the rooms where they actually gather.

What Makes You a Great Fit

- 5+ years of full-cycle technical recruiting, including direct experience recruiting AI/ML, software, or semiconductor engineers: research, RTL, DV, physical design, architecture, or adjacent roles
- A track record of closing senior engineers against competing offers: you know how to sell equity, risk, and conviction, not just a comp number
- Technical literacy across the deep-tech landscape: AI/ML, AI silicon, and custom ASIC development — you can hold a credible intake conversation with a chip architect or an AI researcher
- Fluency in Ashby (or comparable ATS) for candidate tracking, reporting, and process automation
- Operational excellence: low ego, comfortable with ambiguity, and able to move real work forward at the volume of a scaling startup

Bonus Points

- Experience recruiting for unconventional computing or physics-based hardware architectures
- Experience recruiting G&A and business operations roles alongside technical searches
- Previous experience in a high-growth venture-backed startup, semiconductor company, or research lab

## Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our [Applicant Privacy Notice](https://normalcomputing.com/applicant-privacy-notice).

## About Normal Computing Corporation

## Company Overview
- **One-liner**: Normal Computing builds AI-accelerated EDA software and physics-based ASICs to enable ultra-efficient hardware for the AI era.
- **Entity Type**: Private (Series B; total funding $92.5M)
- **Headquarters**: New York, New York, USA
- **Founded**: 2022
- **Founders**: Faris Sbahi (CEO), Matthias Tan (Co-Founder), and team of former Google Brain/Google X engineers and scientists

## Core Business
- Primary industry: Semiconductor design (EDA) and custom silicon (ASICs), powered by AI and probabilistic computing.
- Target customers: Large semiconductor design and manufacturing institutions (B2B, enterprise).
- Mission: "Rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world" and enabling a virtuous cycle of self-improving AI hardware.

## Products & Services
- **[Normal EDA](https://normalcomputing.com/)**: An AI-driven electronic design automation platform that understands design intent from specification documents, generates hierarchical test plans with traceability, creates SystemVerilog stimulus, runs simulations, and tracks coverage. It continuously learns from team feedback to accelerate verification for complex chip designs.
- **[Normal ASICs](https://normalcomputing.com/)**: Physics-based custom ASICs that relax traditional computing assumptions (stochastic, stateful, asynchronous) to unlock orders-of-magnitude more efficient compute. Designed to converge hardware with the physical dynamics of AI models.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: **Total Funding** – $92.5M across multiple rounds (Seed, Venture, Grant, Series B). Notable recent round: $50M led by **Samsung Catalyst** in March 2026 [normalcomputing.com](https://normalcomputing.com/).
- **Notable Investors**: Samsung Catalyst Fund, Intel Ignite, First Spark Ventures, Celesta Capital, ARIA. Also partners with Fraunhofer IESE (DRAMBench benchmark).
- **Growth Signals**: Headcount grew **196.3% YoY** to 54 employees; operates across 6 countries (US, UK, Denmark, Switzerland, India, Canada); actively building open-source tools (e.g., a Verilog simulator built with AI: 580K lines in 43 days).

## Competitive Advantages
- **Physics-First Approach**: Unlike traditional digital logic, Normal’s ASICs embrace stochastic, stateful, and asynchronous computing – aligning hardware with the physics of AI models for dramatic efficiency gains.
- **Full-Stack Co-Design**: The combination of AI-native EDA tools and custom silicon creates a closed loop where software and hardware are co-optimized, shortening time-to-market and enabling workload-specific ASICs.
- **Deep AI Heritage**: Founders and team hail from Google Brain and Google X, bringing deep expertise in probabilistic ML, quantum AI, and physical-world reasoning.

## Strategic Focus
- **Scaling EDA Adoption**: Expanding Normal EDA’s use among top semiconductor companies to "make chip design look more like software".
- **AI Hardware Energy Crisis**: Tackling soaring power demands of AI by delivering ultra-efficient ASICs that can be produced for every workload.
- **Open-Source & Research**: Building community trust through open benchmarks (DRAMBench) and tools (CIRCT-based verification), while advancing formal methods and AI-driven simulation.

## Why Work Here
- **Hybrid Workspace**: Flexible in-office collaboration at offices in **New York (Flatiron HQ)**, **San Francisco**, **London**, and **Copenhagen**. In-person collaboration is valued but with flexibility; free lunch, snacks, and beverages in office.
- **Lean, High-Impact Team**: Small team (54 employees) where every member drives significant impact, works directly with customers, and owns meaningful parts of the product.
- **Interdisciplinary Challenges**: Work spans AI, probabilistic software, hardware, physics, and full-stack engineering – ideal for curious, passionate problem-solvers.
- **Strong Growth Trajectory**: Rapid headcount growth (+196% YoY), recent $50M Series B, and partnerships with industry giants signal a well-funded, high-potential startup.

## Sources
1. [normalcomputing.com](https://normalcomputing.com/)
2. [normalcomputing.com/about](https://normalcomputing.com/about)
3. [linkedin.com/company/normal-computing-corporation](https://www.linkedin.com/company/normal-computing-corporation)
4. [builtin.com/company/normal-computing](https://builtin.com/company/normal-computing)
5. [jobs.ashbyhq.com/normalcomputing](https://jobs.ashbyhq.com/normalcomputing)

## Other roles at Normal Computing Corporation

- [Product Manager](https://feeny.ai/job/product-manager-normal-computing-corporation-new-york-5vtr50dyxm8q) — New York, NY
- [Hardware Engineer, FPGA](https://feeny.ai/job/hardware-engineer-fpga-normal-computing-corporation-new-york-4v6epje87dne) — New York, NY
- [Platform Engineer](https://feeny.ai/job/platform-engineer-normal-computing-corporation-silicon-valley-vz152nhsh8vd) — Silicon Valley
- [Research Engineer, Agentic EDA](https://feeny.ai/job/research-engineer-agentic-eda-normal-computing-corporation-new-york-n9n5s5w4myky) — New York, NY
- [Hardware Engineer, ASIC Architect](https://feeny.ai/job/hardware-engineer-asic-architect-normal-computing-corporation-silicon-valley-6fvq60qmptdw) — Silicon Valley
- [Hardware Engineer, System Architect](https://feeny.ai/job/hardware-engineer-system-architect-normal-computing-corporation-silicon-valley-ewmb4smy3n8k) — Silicon Valley
- [Software Engineer, Terminal Interface](https://feeny.ai/job/software-engineer-terminal-interface-normal-computing-corporation-new-york-4wm9d2tfm0ja) — New York, NY
- [Talent Operations Specialist](https://feeny.ai/job/talent-operations-specialist-normal-computing-corporation-silicon-valley-rj0rjeg87g4x) — Silicon Valley
- [Thermodynamic Hardware Resident](https://feeny.ai/job/thermodynamic-hardware-resident-normal-computing-corporation-new-york-jg4avbjrxt43) — New York, NY
- [AI Research Resident](https://feeny.ai/job/ai-research-resident-normal-computing-corporation-new-york-44frw5ybhavm) — New York, NY