Jobs · Information Technology · New York

FPGA Design Engineer

Genoa Ventures · New York, NY · 1 wk ago
Information Technology$200k–$280k/yrFull-time

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).

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