Hardware Developer

Quantiq specializes in high frequency derivatives trading in the largest markets worldwide. Our approach is rigorous and pragmatic, driven by technological expertise and analytics, informed by real-world experience. We value employees who love to learn and have the tenacity, curiosity, and willpower to contribute to our continuing success.

We are a small but passionate team, dedicated to enhancing and refining our tried and true methods as we commit to our ongoing growth and performance.

As a Hardware Developer, you’ll be responsible for designing, optimizing, and maintaining our critical network paths and infrastructure. Working alongside a skilled team of developers, you’ll contribute to our custom FPGA data processing platform, focusing on low-latency digital logic design, IP optimization, and software interfacing drivers. This role demands expert knowledge of digital circuits, tools, and computer architecture, and a relentless drive to push systems to their maximum performance potential.

If the following resonates with you, we would love to welcome you to our team.

• Architect and develop low-latency modules and platforms in Verilog/VHDL, with precise management of multiple clock domains and data streams
• Design custom network protocol drivers in C++, with focus on performance, concurrency, and memory optimization
• Document code intricacies, architecture decisions, and optimization strategies to foster knowledge sharing across teams
• Conduct in-depth debugging and profiling of new and legacy code, implementing fixes that maintain or enhance performance
• Evaluate system performance and refine technical operations
• Write quality, highly performant code (Verilog/VHDL and C/C++)

• 5+ years in Hardware Development, preferably in low-latency or performance-sensitive environments
• Familiarity with network protocols, hardware build scripting, and debug tools using Xilinx Vivado, FPGAs, and IP
• Advanced proficiency in Verilog, System Verilog, and/or VHDL, and C/C++
• Excellent communication skills within a collaborative environment
• Demonstrated ability to respond promptly and accurately in a fast-paced, dynamic environment
• Strong skills in solving complex mathematical and engineering challenges