Radix Trading University Job Board is seeking experienced engineers to design and build scalable systems in Chicago. Candidates should have a PhD in Electrical Engineering or similar, with expertise in FPGA coding using VHDL/verilog. Proficiency in Python for testing and familiarity with Modelsim is essential. The ideal candidate is results-oriented, a fast learner, and able to work independently while possessing strong analytical and communication skills.
Qualifications
PhD in progress or obtained in a relevant field.
Experience with large FPGA Stratix V or/and Virtex Ultra-Scale+ is a plus.
Knowledge of networking protocols: IP, TCP/UDP.
Responsibilities
Design and build new scalable systems.
Maintain FPGA code.
Innovate and design solutions to current limitations.
Skills
Experience coding in VHDL/verilog
Proficiency with Python for unit testing
Highly analytical mindset
Excellent communication skills
Ability to multitask
Education
PhD in Electrical Engineering, Computer Architecture, or a closely-related engineering discipline
Tools
Modelsim
Xilinx and/or Altera FPGAs
Job description
Chicago
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