Skip to content

Open nowPosted 9 days ago

FPGA Platform Lead

Normal Computing37 open roles

Pay
$250,000 – $340,000 a year
Where
New York
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFPGA Platform LeadNormal Computing · New York
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Normal Computing's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Normal Computing postings stay open a median of 63 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 9 days ago

Normal Computing median: 63 days open

The posting

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

Validating conventional silicon is a solved discipline. Validating silicon that computes with noise is not, and you will be the one who figures out how. As our FPGA Design Engineer, you will own the bridge between RTL and physical silicon: bringing our physics-inspired ASIC designs to life on FPGA platforms for pre-silicon validation and early software development, and building the test infrastructure for post-silicon bring-up and characterization. Your scope spans the entire FPGA lifecycle: selecting hardware platforms, implementing complex RTL, debugging in the lab, and writing the software that drives it all, working daily with our silicon, EDA, and research teams.

WHAT YOU WILL OWN

- FPGA Platform Ownership: Lead the selection, procurement, and bring-up of FPGA prototyping platforms (e.g., HAPS, VCU118/VPK180-class boards, or custom hardware) for pre-silicon RTL validation and software development.

- RTL Implementation: Adapt and implement complex ASIC RTL onto FPGA targets, including multi-clock-domain architectures, CDC bridges, and timing closure on dense designs.

- IP Integration: Integrate in-house designs with third-party and vendor IP; serve as the expert on the AMD/Xilinx ecosystem (Vivado IP Integrator, transceivers, memory controllers).

- High-Speed Interfaces: Design, implement, and validate high-speed I/O with a focus on PCIe: our accelerators ship as PCIe cards in standard servers.

- Post-Silicon Validation: Build FPGA-based "tester" designs for silicon bring-up, device characterization, and automated test environments.

- Hardware-Software Stack: Develop the software layer around the hardware: Python/C++ hardware abstraction, register-map generation, and automated build and regression flows.

- Lab Debug: Root-cause complex timing and functional issues in real time using ILA/Vivado Analyzer, oscilloscopes, logic analyzers, and BER/eye-diagram characterization of high-speed links.

WHAT MAKES YOU A GREAT FIT

- Proven industry experience taking FPGA designs from RTL through timing closure to validated hardware, ideally in an ASIC prototyping, emulation, or high-growth hardware environment.

- Expert-level SystemVerilog and/or VHDL for synthesis, with deep proficiency in Xilinx Vivado (synthesis, place & route, timing closure, IP catalog).

- Hands-on experience implementing and debugging PCIe, plus AXI/AHB, SPI, UART, JTAG, and other common interfaces.

- Strong Python for automation, test, and build tooling.

- Strong board-level bring-up and lab debugging skills on real hardware.

- Startup mindset: you work independently, pivot quickly, and run at ambiguous problems that span hardware, software, and physics.

BONUS POINTS

- Verification frameworks like Cocotb or UVM

- Experience deploying ML models to FPGAs (hls4ml, FINN, or custom NN-to-RTL flows), or building real-time, sub-microsecond signal processing pipelines.

- Mixed-signal ASIC exposure: digital front-ends, ADC/DAC interfaces, or analog compute.

- SERDES tuning and signal integrity fundamentals.

- CI/CD for hardware (GitLab CI, Docker-based build and test).

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 [email protected].

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Normal Computing's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Normal Computing's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Normal Computing's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.