Field-Programmable Gate Arrays Engineer

A rapidly growing, venture-backed technology company is building next-generation, software-defined manufacturing systems that combine advanced sensing, real-time controls, and data-driven intelligence to enable highly precise, scalable physical production.

As a Staff FPGA Engineer
, you will architect and implement a custom compute platform at the core of this system. You’ll work with cutting-edge FPGA technology, including modern SoC-class devices, to scale high-throughput, ultra-low-latency data and image processing pipelines.

You will play a key technical leadership role, partnering closely with software, electrical, and systems engineering teams to rapidly develop and deploy custom FPGA solutions. This is a high-impact position focused on building foundational IP for a complex, real-time, compute-intensive platform.

• Architect and implement FPGA solutions for high-throughput, ultra-low-latency data and image processing pipelines
• Lead and contribute to cross-functional engineering efforts spanning software, electrical, and systems teams
• Design and implement custom FPGA capabilities to support real-time machine learning workloads
• Develop reusable logic components and IP for FPGA platforms
• Implement custom algorithms for signal processing on FPGAs
• Design and implement custom controllers and interfaces on FPGA-based systems

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
• 10+ years of FPGA development experience using System Verilog and/or VHDL
• Hands-on experience with modern FPGA tool chains (e.g., synthesis, implementation, timing closure)
• Experience with high-speed I/O, board bring-up, and hardware-centric FPGA development

• Master’s degree in a relevant engineering discipline
• Experience with image processing, DSP, or real-time data pipelines
• Experience with SoC-class FPGAs (e.g., ARM-based FPGA platforms)
• Embedded software experience, including embedded Linux and SoC-based architectures
• Experience implementing advanced math or compute-intensive workloads on FPGAs
• Exposure to heterogeneous compute systems and high-speed data acquisition platforms
• Proficiency in C/C++ or other high-level programming languages
• Strong written and verbal communication skills
• Ability to apply first-principles thinking to complex technical challenges