Hudson River Trading
We're Hiring!
Benefits at Hudson River Trading
Financial + Retirement
401(K)
401(K) matching
Performance bonus
Child Care + Parental Leave
Adoption Assistance
Company sponsored family events
Generous parental leave
Fertility benefits
Office Perks
Commuter benefits
Company-sponsored outings
Free daily meals
Onsite gym
Onsite office parking
Free snacks and drinks
Health Insurance + Wellness
Dental insurance
Disability insurance
Flexible Spending Account (FSA)
Health insurance
Life insurance
Vision insurance
Wellness programs
Vacation + Time Off
Generous PTO
Paid holidays
Paid sick days
Culture
Open office floor plan
Recently posted jobs
Systems Engineer role at Hudson River Trading involving working on projects that impact live trading and research, managing distributed compute clusters, troubleshooting technical infrastructure, performing performance testing and tuning, and collaborating with stakeholders. Requires 5+ years of experience with expertise in Linux systems, scripting, and configuration management tools.
Experienced FPGA Verification Engineer responsible for creating testbenches, writing verification plans, debugging RTL bugs, collaborating with designers, managing regression infrastructure, and developing tools. Must have excellent debug and analytical skills, strong background in RTL functional verification, experience with Python and Linux, and familiarity with Verilator and/or Cocotb. Networking protocol and C++ experience is a plus. Bachelor's degree in Computer or Electrical Engineering or a related field.
As a Senior Python Engineer at Hudson River Trading (HRT), you will be working on a small and highly productive team. HRT primarily uses Python and C++ for their development work. You will have the opportunity to work on cutting-edge distributed compute environments, collaborate with researchers and engineers, and help streamline the trade cycle. Responsibilities include software development, improving job orchestration, building tooling and environments, deploying and monitoring systems, and supporting data ETL pipelines. Required qualifications include a Bachelor's degree in Computer Science or related field, deep Python experience, and knowledge of the Python ecosystem.