Quantitative Technologist (Full-Time - FPGA Engineer, PhD)
The Quantitative Technologist will develop and maintain high‑performance FPGA code to reduce latency in automated trading systems. They will also create Python‑based unit tests and use ModelSim for simulation and debugging of scalable hardware designs.
Skills required
About this role
Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.
As part of the FPGA team, you’ll work with cutting-edge technology to improve performance and latency of our systems. As a member of a small and dynamic team, you’ll not only work to solve production issues but also come to the table with new and innovative ideas for automated trading.
Job Functions:
- Design and build new scalable systems
- Maintaining FPGA code
- Use Python for unit testing
- Use model-sim for simulation
- Debug and fix FPGA issues
- Innovate and design solutions that will overcome current limitations
Key Capabilities:
- PhD in Electrical Engineering, Computer Architecture, or another closely-related engineering discipline (in the progress of obtaining or has obtained)
- Experience coding in VHDL/verilog
- Proficiency with Python for unit testing
- Used Xilnix and/or Altera FPGAs
- Familiar with Modelsim
- Previously worked on large FPGA stratix V or/and Virtex ultra-scale+ is a plus
- Knowledge of networking protocols:IP,/TCP/UDP etc.
- Highly analytical mindset
- Excellent communication skills, both written and oral
- Results oriented, highly flexible, team player
- Can tackle new things without a lot of help; fast learner
- Driven and self-guided
- Ability to function independently and take ownership
- Ability to multitask and iterate quickly towards a better solution
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