Job Description

Help shape the future of radar sensing by turning advanced radar concepts into production-ready systems.

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.

MatrixSpace is hiring an FPGA Engineer for its Burlington, Massachusetts location. This hybrid opportunity supports the development of advanced radar and sensing technologies that enhance real-time airspace awareness. The person in this role will help build the foundation for next-generation radar capabilities across our platform. This role sits at the intersection of FPGA architecture, high-throughput data movement, and radar signal processing, translating sensing algorithms and system requirements into reliable FPGA implementations.

If you're technically curious, experienced with FPGA-based systems, and excited by both low-level hardware integration and signal processing implementation, we'd love to talk.

What You'll Do

• Design and develop FPGA architectures and high-throughput data paths for radar sensing systems.
• Develop and integrate vendor and custom IP, including SPI, AXI, DMA, FIFOs, memory interfaces, and streaming pipelines.
• Translate radar and signal processing algorithms into efficient FPGA implementations.
• Debug and optimize FPGA designs for timing, resource utilization, throughput, latency, and hardware/software integration.
• Partner with RF, embedded, software, and systems engineers to define FPGA interfaces, architectures, and performance targets.
• Provide technical leadership and mentorship on FPGA design and implementation.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

Required

• Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 5–7 years developing FPGA-based systems for radar, RF, communications, electronic warfare, or other high-speed signal processing applications.
• Experience with modern AMD/Xilinx or Intel FPGA platforms, including vendor IP integration, DMA, processor interfaces, and timing closure.
• Strong RTL development skills using System Verilog, Verilog, VHDL, HLS, or similar, from architecture through lab validation.
• Hands-on experience with high-speed data movement, memory interfaces, clock-domain crossings, and FPGA debugging.
• Experience implementing digital signal processing algorithms such as FFTs, filtering, beam forming, detection, or related radar processing.

Someone Who Will Thrive In This Role...

• Thinks holistically about FPGA systems, from sensor interfaces to system performance.
• Enjoys moving between algorithm development, RTL implementation, lab debugging, and system optimization.
• Takes ownership of complex technical problems and drives them to resolution.
• Collaborates effectively across RF, embedded, software, and systems engineering teams.

Bonus Points

• Advanced degree in Electrical Engineering, Signal Processing, Radar Systems, or a related field.
• Experience with modern radar architectures (MIMO, phased arrays, FMCW, pulse-Doppler, passive radar) and digital signal processing.
• Experience with embedded Linux, FPGA/software co-design, device drivers, or deployed radar and defense systems.

Why MatrixSpace

At MatrixSpace, FPGA engineering is where advanced radar concepts become real-world capability. You'll build the data paths and signal processing engines that power our next generation of intelligent sensing systems while working alongside world-class engineers to solve challenging multidisciplinary problems with real customer impact.

Join a team that thrives on innovation, collaboration, and technical excellence. You'll work alongside world-class engineers, tackle challenging multidisciplinary problems, and have the opportunity to make a lasting impact on the future of sensing technology.

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