Senior FPGA Engineer
Efficient ComputerJob Title
Senior FPGA Engineer
Role Summary
Join a deep‑tech engineering team developing next‑generation computing systems. Design and optimize FPGA-based systems for real‑time control, signal processing, and high‑speed data acquisition. The role covers architecture, RTL implementation, verification, and system integration with hardware, software, and research teams.
Experience Level
Senior-level: expected multiple years of FPGA engineering experience and technical leadership on design and delivery.
Responsibilities
Primary responsibilities include:
- Architect and implement FPGA designs on Xilinx devices for real‑time control, DSP, and high‑speed data acquisition.
- Develop RTL using SystemVerilog/Verilog and drive synthesis, timing closure, and CDC solutions.
- Define and execute verification plans; integrate FPGA subsystems with software and board‑level hardware.
- Optimize performance and resource usage; develop automation and test tooling in Python.
- Collaborate with research, hardware, and software teams; diagnose and resolve system‑level issues.
Requirements
Must-have skills and experience:
- Strong FPGA development experience targeting Xilinx devices.
- Expert knowledge of SystemVerilog or Verilog.
- Experience with high‑speed interfaces, DSP, and real‑time systems.
- Proven understanding of timing closure, clock‑domain crossing, and verification methodologies.
- Python for automation, testing, or tooling.
- Background in scientific instrumentation, communications, semiconductors, advanced computing, or other complex hardware environments.
Education Requirements
Not specified.
About the Company
Company: Efficient Computer
Headquarters: Austin, TX, USA
Developer of ultra-low-power general-purpose processors using patented technology that can consume up to 100x less energy than comparable ultra-low-power processors. Their programmable platform supports standard high-level languages and AI/ML frameworks to enable long-lived, battery-powered edge devices and energy-efficient SoCs for IoT and edge AI applications.
