FPGA Engineer
Belvedere Trading is a proprietary trading firm and market maker founded in Chicago. It develops proprietary trading models, software, and risk-management systems, and operates across Chicago, Boulder, New York, and Singapore.
About Belvedere Trading, LLC.
Belvedere Trading is a proprietary trading firm and market maker specializing in financial markets, including options, indices, commodities, equities, and equity strategies. The company uses proprietary trading models, software platforms, quantitative research, and risk-management capabilities to identify market inefficiencies and execute trading strategies. It also provides capital, infrastructure, operational support, and strategic guidance to backed trading groups and partners, and may acquire established trading teams or their intellectual property. The company recruits and trains quantitative traders, researchers, software engineers, and operations professionals through its Belvedere Trading University program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Join Belvedere Trading's technology team to design and optimize high-performance, low-latency FPGA systems powering its options market-making platform. The role involves building algorithmic trading systems, developing hardware platforms, solving performance-critical problems, and improving engineering productivity.
Requirements
- Development experience with FPGAs, including Verilog or VHDL, functional verification, and static timing closure
- Experience with C++, Bash, TCL, and/or Python scripting
- Experience with FPGA design, simulation, and verification tools such as Synopsys, Riviera, ModelSim, or Questasim
- Desire to push performance boundaries and reduce latency
- Passion for innovation and building systems from the ground up
- Ability to work in a fast-paced, mission-critical environment
- Careful attention to detail and ability to exceed expectations
Responsibilities
- Use cutting-edge technology while working on high-performance and low-latency systems
- Collaborate with team members to investigate and create automated trading algorithms
- Work on high-performance computing systems to improve speed and performance
- Build next-generation algorithmic trading systems
- Solve low-latency trading problems and optimize performance-critical code
- Develop new hardware platforms
- Identify improvement opportunities and experiment with performance optimizations
- Apply industry knowledge and technical skills in innovative ways
- Improve team productivity, code quality, tools, and technology adoption
- Create new features and improve existing experiences
- Share ideas, experience, and knowledge with team members