Posted by the employer · New York City, United States
Design Verification - DV - Engineer - 2027 Grads
Hudson River Trading · New York City · United States
Posted: 8/31/2026 · On the employer's job feed since 10/11/2026
The advert
Quoted in full from Hudson River Trading's job posting. Gavroche does not edit it.
The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technologies to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.
These high performance designs require even higher performance verification. We are looking for Design Verification (DV) engineers who are passionate about writing testbenches and building verification environments to exercise complex HDL. You are excited about exploring the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.
Design verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.
Responsibilities
- Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
- Writing detailed verification plans
- Quickly root-cause RTL bugs
- Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
- Managing test suites and continuous integration infrastructure
- Developing and improving open-source and internal tools
Qualifications
- Superb debugging and analytical skills
- Experience with RTL functional verification
- Proficiency in Python
- Comfortable in a Linux environment
- Familiarity with Cocotb preferred
- C++ experience is a plus
- A bachelor’s degree in computer engineering, computer science or a related field
We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
The estimated base salary range for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
You can review our Global Applicant Privacy Notice, which explains how we process applicant information.
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