STAFF/LEAD FPGA ENGINEER

Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.
As a Staff/Lead FPGA Engineer at Freeform, you will be responsible for architecting and implementing a custom compute platform that enables the world’s first AI-driven, intelligent metal 3D printing technology. You will use the latest and greatest in FPGA’s including the Xilinx Zynq Ultrascale+ MPSoC to scale a high-throughput, low latency image processing pipeline. You will also have an opportunity to integrate your FPGA solutions with state-of-the-art GPUs to create an advanced machine learning acceleration platform. You will drive interdisciplinary engineering efforts between software, electrical, and process engineering teams to rapidly innovate custom FPGA solutions. High-performance computing to central to what makes Freeform’s technology unique and powerful, so this is a high-impact role in which you’ll develop core IP for a world-changing technology.
3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Basic Qualifications:

• Bachelor’s degree in computer engineering, electrical engineering, computer science, or related field
• 10+ years of FPGA development experience in SystemVerilog or VHDL
• Familiarity with Xilinx Vivado/Vitis toolchain development environment
• Experience with high-speed IO, board bring up, and similar hardware-centric FPGA development domain

• Architect and implement FPGA solutions to scale a high-throughput, ultra-low latency image processing pipeline
• Lead interdisciplinary efforts between software, electrical, and process engineering to drive innovation on FPGA capabilities
• Architect and implement custom FPGA capabilities to enable real-time machine learning
• Architect and implement new logic components for use on FPGAs
• Implement custom algorithms on FPGAs for signal processing

• Implement custom controllers on FPGAs

  Basic Qualifications:

• Bachelor’s degree in computer engineering, electrical engineering, computer science, or related field

• 10+ years of FPGA development experience in SystemVerilog or VHDL
• Familiarity with Xilinx Vivado/Vitis toolchain development environment
• Experience with high-speed IO, board bring up, and similar hardware-centric FPGA development domains