Verified current PhD Opportunity

Quantitative Technologist (Full-Time - FPGA Engineer, PhD)

Quantitative Technologist (Full-Time - FPGA Engineer, PhD) at Radix Trading University — Chicago. 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...

PhD Opportunity Full source details
Radix Trading University Chicago Verified 5 hours ago
✓ 100% verification score · Source: Radix Trading University Careers (Greenhouse) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.

Overview

Quantitative Technologist (Full-Time - FPGA Engineer, PhD) at Radix Trading University — Chicago. 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.

Complete research opportunity details

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

Tips for this phd opportunity

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
  2. Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
  3. Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
  4. Contact a supervisor before applying only when the official instructions recommend or require it.

Verification notes

Verified from the employer's public Greenhouse job collection. The provider-supplied title, description, location and application URL were normalized without inferring unstated facts.

Original authoritative source

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