OfficeNew York City200k - 280k USD

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'll 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, UVM, or OSVVM.

  • 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 Privacy Policy.

Job details
Workplace
Office
Location
New York City
Salary
200k - 280k USD
per year
Normal Computing Corporation logo
Normal Computing Corporation
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Normal Computing was founded in the USA by former members of Google Brain and Google X who helped pioneer AI for the physical world, and developed the leading ML frameworks for Probabilistic and Quantum AI. The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself. By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware. We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.

Key team members

Johann George

Johann George

John Ferneborg

John Ferneborg

Craig Churchill

Craig Churchill

Peter Vigil

Peter Vigil

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