--- title: 'Quantitative Technologist (Full-Time - FPGA Engineer, PhD) at Radix Trading University Job Board' canonical: 'https://feeny.ai/job/quantitative-technologist-full-time-fpga-engineer-phd-radix-trading-university-kwr6az1k7pfe' type: 'job' last_seen: '2026-09-10' --- # Quantitative Technologist (Full-Time - FPGA Engineer, PhD) at Radix Trading University Job Board - **Company:** Radix Trading University Job Board - **Location:** Chicago, IL - **Posted:** 2026-04-23 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/radixuniversity/jobs/8521654002 ## Job description 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 ## About Radix Trading University Job Board ## Company Overview - **One-liner**: Radix Trading is a privately funded research-driven proprietary trading firm that uses advanced machine learning and statistical methodologies to trade on major electronic markets globally. - **Entity Type**: Private (bootstrapped/self-funded; does not accept outside investments) - **Headquarters**: Chicago, Illinois, United States (with offices in New York, NY and Amsterdam, Netherlands) - **Founded**: 2014 - **Founders**: Not publicly disclosed (led by industry veterans who previously built and managed some of the most profitable trading teams in the world) ## Core Business - **Primary industry/industries**: Financial services – proprietary trading, quantitative research, high-frequency trading (statistical/alpha-driven, not pure speed) - **Target customers**: Radix trades for its own account; no external clients. Its “customers” are the electronic exchanges on which it participates. - **Mission or purpose statement**: “Building a new type of trading firm dedicated to research through open, collaborative innovation.” ## Products & Services Radix Trading does not sell products to external customers; its internal offerings are its proprietary technology and research platforms: - **Proprietary Automated Research Platform**: A cutting-edge system that enables rapid turnaround from idea inception to execution, continuously enhanced by the firm’s researchers and technologists. - **Statistical Trading Strategies**: Machine learning and statistical models applied across North American, European, and Asian electronic markets. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held, no outside funding) - **Key Metric**: Total headcount of approximately 150 employees (LinkedIn estimate, as of mid-2025) - **Notable Investors/Partners**: None – the firm is entirely self-funded and does not accept external investments. - **Growth Signals**: - Year-over-year headcount growth of +6.6% (LinkedIn). - Talent sourced from top universities (University of Chicago, Princeton, Stanford) and leading quantitative firms (Jane Street, Citadel Securities, IMC Trading, Google). - Offices in three global financial hubs (Chicago, New York, Amsterdam). ## Competitive Advantages - **Culture of Open Collaboration**: Fast turnaround from idea to execution, with a flat structure that encourages interdisciplinary input. - **Statistical Focus Over Speed**: Explicitly differentiates from “flash”/high-frequency trading by emphasizing research and statistical edge. - **Top-Tier Talent Pool**: Blends academics (undergraduates, PhDs, postdocs, professors) with experienced engineers from Silicon Valley and supercomputing specialists. - **Experienced Leadership**: Led by veterans who previously built and managed some of the world’s most profitable trading teams. ## Strategic Focus - Continue expanding research-driven strategies across global electronic markets. - Maintain a privately funded, independent structure to avoid external pressure and focus on long-term research. - Attract and retain interdisciplinary talent through a collaborative, intellectually rigorous environment. ## Why Work Here - **Compensation & Culture**: Employee ratings show a 4.3/5.0 overall (23 reviews on LinkedIn), with compensation scoring 4.6/5.0 – a strong indicator of competitive pay. - **Work Environment**: Rated 3.8/5.0 for both work-life balance and culture. The firm emphasizes near-immediate feedback on ideas and the opportunity to solve “really tough problems.” - **Remote/Hybrid Policy**: Likely office-based (presence required in Chicago, New York, or Amsterdam). No explicit remote policy stated. - **Notable Perks**: Discretionary variable compensation based on experience, effort, performance, innovation, and contribution. Access to a proprietary research platform and collaboration with some of the smartest people in the industry. - **Engineering Culture**: Heavy use of C++, Python, Linux, SQL, and FPGA engineering (for hardware-focused roles). Strong DevOps and HPC systems teams. ## Sources 1. [radixtrading.co](https://radixtrading.co/) 2. [Greenhouse University Job Board](https://boards.greenhouse.io/radixuniversity/jobs/6870787002) 3. [LinkedIn Company Profile](https://www.linkedin.com/company/radix-trading) 4. 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