Hardware Engineer, FPGA
Implement complex ASIC RTL onto FPGA targets for pre-silicon validation
As an FPGA Design Engineer at Normal Computing, you will own the bridge between RTL and physical silicon by bringing physics-inspired ASIC designs to life on FPGA platforms for pre-silicon validation and early software development. You will lead the selection and bring-up of FPGA prototyping platforms, implement complex RTL with multi-clock-domain architectures, and integrate in-house designs with third-party IP. Your work spans the entire FPG...
Why This Role?
Work on physics-inspired ASICs that compute with thermal noise for 10-100× more AI inference per dollar and watt
Key Responsibilities
- Lead selection, procurement, and bring-up of FPGA prototyping platforms such as HAPS or VCU118/VPK180-class boards
- Adapt and implement complex ASIC RTL onto FPGA targets, including multi-clock-domain architectures and CDC bridges
- Integrate in-house designs with third-party and vendor IP, serving as the expert on the AMD/Xilinx Vivado ecosystem
- Design, implement, and validate high-speed I/O with a focus on PCIe for accelerator deployment in standard servers
- Build FPGA-based tester designs for silicon bring-up, device characterization, and automated test environments
- Develop the software layer around the hardware to drive FPGA platforms and support validation workflows
Requirements
- Experience implementing complex RTL onto FPGA targets
- Proficiency with multi-clock-domain architectures and CDC bridges
- Expertise in the AMD/Xilinx ecosystem, including Vivado IP Integrator, transceivers, and memory controllers
- Experience designing and validating high-speed I/O, particularly PCIe interfaces
- Background in FPGA-based validation, bring-up, and characterization of silicon
- Ability to develop software layers that interface with FPGA hardware
Required Skills
View Original Description from Ashby Job Boards
Original description from Ashby Job Boards
ABOUT NORMAL COMPUTING Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt. We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing. Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority. 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 Privacy Policy.
Salary Context
Similar Engineering roles on LokerDollar pay around $170k/yr (range $1.8k–1000k/yr, n=678 active listings).
Hiring at Normal
Normal has 16 other active roles on LokerDollar and has been hiring here since Aug 3, 2026 — across Engineering, Data & Analytics.
View all Normal openings →Openness not stated by employer — check the listing
Frequently asked questions
- Is Hardware Engineer, FPGA at Normal a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
- What is the salary for Hardware Engineer, FPGA at Normal?
- The listed pay range for this role is $200k–400k/yr.
- What type of employment is Hardware Engineer, FPGA at Normal?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Normal.
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