---
title: 'Firmware Engineer at Normal Computing Corporation'
canonical: 'https://feeny.ai/job/firmware-engineer-normal-computing-corporation-mountain-view-92p63r8rsgdk'
type: 'job'
last_seen: '2026-10-29'
---

# Firmware Engineer at Normal Computing Corporation

- **Company:** Normal Computing Corporation
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/normalcomputing/804fdbc0-7670-4ec7-b6d6-a059a78813d7

## 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), and London.

## The Role

As a Firmware Engineer at Normal, you will create low-level software to run on our SOC to provide an interface between our physics-inspired ASICs and higher software levels. You will have to develop code that runs on a microcontroller that provides an API layer for upper software levels to exercise our AI acceleration hardware. You will interface with the hardware and software design teams, understanding both the hardware and software architectures. You will debug in various prototyping and ASIC environments. For this role, you also have to specify and create the development environment. The through-line is your firmware expertise, applied to silicon and software stacks that compute differently from anything you have coded for before. This is a seat for a firmware engineer who wants their craft to compound rather than repeat.

## What You Will Own

- Development of firmware for an embedded processor on an SOC: Create firmware to support an API that bridges higher-level software to the hardware layer.
- Work with software and hardware: Collaborate with software and hardware engineers to understand and specify the API requirements.
- Creation of the development environment: Acquire and configure appropriate tools to create the firmware, including compilers, simulators, and debuggers. Work across multiple development environments including software simulation, RTL simulation, and physical hardware.
- Verification of the firmware to a production level: Develop a verification and stress test plan and environment to guarantee production quality of the firmware

What Makes You a Great Fit

- 5+ years of experience in firmware development
- Specification and creation of a firmware development environment for a shipping product
- Expertise in various firmware languages and target architectures
- Excellent written and spoken communication skills

Bonus Points

- RISC-V experience
- FPGA and In-circuit debug
- Experience with AI acceleration hardware
- Hands-on use of LLMs or agentic tools in development workflows

## 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

- [AI Research Resident (Algorithms Codesign)](https://feeny.ai/job/ai-research-resident-algorithms-codesign-normal-computing-corporation-new-york-60jxmxr64wk5) — New York, NY
- [Engineering Manager, Compiler & Runtime](https://feeny.ai/job/engineering-manager-compiler-runtime-normal-computing-corporation-mountain-view-tt9vtnwjygvt) — Mountain View, CA
- [Events & Conferences Specialist](https://feeny.ai/job/events-conferences-specialist-normal-computing-corporation-new-york-3rgsr2f7hkhj) — New York, NY
- [Mechanical Engineer, Hardware Systems](https://feeny.ai/job/mechanical-engineer-hardware-systems-normal-computing-corporation-mountain-view-n9eqr3h1hgbh) — Mountain View, CA
- [Compiler Frontend Engineer](https://feeny.ai/job/compiler-frontend-engineer-normal-computing-corporation-mountain-view-xd4ytzz9zmbz) — Mountain View, CA
- [Simulator & Debug Tools Lead](https://feeny.ai/job/simulator-debug-tools-lead-normal-computing-corporation-mountain-view-tg38bb3b0dx4) — Mountain View, CA
- [TPM Lead](https://feeny.ai/job/tpm-lead-normal-computing-corporation-mountain-view-d92ny63s7jex) — Mountain View, CA
- [Hardware Engineer, DFT](https://feeny.ai/job/hardware-engineer-dft-normal-computing-corporation-mountain-view-xv7mzqfbedsx) — Mountain View, CA
- [Head of Silicon Product Engineering](https://feeny.ai/job/head-of-silicon-product-engineering-normal-computing-corporation-mountain-view-c514zrdswrxf) — Mountain View, CA
- [Hardware Engineer, Performance Modeling](https://feeny.ai/job/hardware-engineer-performance-modeling-normal-computing-corporation-mountain-e9pgdhrbq1cy) — Mountain View, CA