Hardware Engineer, FPGA

Hardware Engineer, FPGA

Full-Time 67500 - 82500 £ / year (est.) On-site
Normal Computing

At a Glance

  • Tasks: Lead FPGA design and validation for cutting-edge AI hardware projects.
  • Company: Join Normal Computing, an innovative AI company transforming the semiconductor industry.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic startup environment with a focus on collaboration and innovation.
  • Why this job: Make a real impact in AI and silicon technology while working with top-tier teams.
  • Qualifications: Experience in FPGA design, strong coding skills, and a passion for problem-solving.

The predicted salary is between 67500 - 82500 £ per year.

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

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 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.

Hardware Engineer, FPGA employer: Normal Computing

Normal Computing is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about building cutting-edge AI production systems. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, all while working in a dynamic environment that values creativity and teamwork. Located in a vibrant tech hub, our team enjoys access to the latest tools and technologies, making it an ideal place for engineers looking to make a meaningful impact.

Normal Computing

Contact Details:

Normal Computing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hardware Engineer, FPGA

✨Join Engineering Meetups!

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We think you need these skills to ace Hardware Engineer, FPGA

FPGA Design
RTL Implementation
SystemVerilog
VHDL
Xilinx Vivado
PCIe
Python

Some tips for your application 🫡

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How to prepare for a job interview at Normal Computing

✨Brush Up on Core Engineering Principles

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✨Show Off Your Problem-Solving Skills

Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.

✨Relate Your Experience to the Role

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✨Know Your Tools and Software

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