AddressSIG is looking to add an FPGA Engineer to our technology team. The candidate will be required to design and implement hardware-accelerated solutions for SIG. These require in-depth knowledge of FPGA design and architecture, and the ability to translate problems into hardware solutions. Additionally, you will participate from concept through to production including hardware selection, FPGA design, simulation and testing. Existing knowledge of ethernet and TCP/IP is strongly preferred. Experience with VHDL, Verilog, System Verilog or HLS is required. No prior experience in finance or trading is necessary. This is an excellent chance to put your stamp on an exciting and challenging use of technology.
In this role, you will:
- Architect and design solutions to accelerate key areas of our infrastructure including hardware selection and key functional blocks
- Implement solutions from the board to API and deploy out to a production environment
- Interact with software teams to capture and design solutions in hardware
- Currently pursuing a Bachelor’s degree in Electrical Engineering or Computer Engineering
- Knowledge of FPGA architecture and build flow
- Experience with VHDL, Verilog, or System Verilog is required
- Existing knowledge of Ethernet and TCP/IP is preferred
- Experience with a high-level software language like Python, C, or C# is preferred
Who We Are
SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. We commit our own capital to trade financial products around the world. Building virtually all of our own trading technology from scratch, we are leaders and innovators in high performance, low latency trading. Our traders, quants, developers, and systems engineers work side by side to develop and implement our trading strategies. With experts in almost every discipline, we build some of the most powerful trading systems in the financial industry.
By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. Working with traders and quants, our systems engineers, network architects, technical analysts and software developers create industry-leading technical solutions.
