Low-Latency C++ Systems Engineer

United States Digital Space LLC; London; On-site; NOK 1,923,000 - 2,885,000; Full time

Job summary

Hudson River Trading (HRT) hires C++ engineers to craft high-performance, fault-tolerant live trading systems that power global markets. You will develop low-latency infrastructure for market data, order entry and execution, across asset classes, including integration with specialized hardware such as FPGAs and ASICs.

Our collaborative, research-driven environment challenges engineers to push the boundaries of performance, latency, and precision while working alongside researchers, traders, and

Qualifications

• 1+ years of professional work experience.
• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• Superior design, debugging, and problem solving skills.
• Advanced C++ experience with daily use.
• Knowledge of UNIX/Linux, system/processor performance, and network communications.

Responsibilities

• Develop and optimize infrastructure for market data, order entry and execution logic across asset classes.
• Design fault-tolerant, low-latency live trading systems and recover from hardware failures.
• Profile and improve performance-critical code for throughput and latency in production.
• Build and maintain infrastructure powering client-facing platforms and scalable research workflows.
• Interface software with hardware such as FPGAs and ASICs used in trading systems.

Skills

Advanced C++

UNIX/Linux knowledge

Problem solving

Debugging

Education

Bachelor's degree in Computer Science, Computer Engineering, or related field

Job description

Hudson River Trading (HRT) hires C++ engineers to craft high-performance, fault-tolerant live trading systems that power global markets. You will develop low-latency infrastructure for market data, order entry and execution, across asset classes, including integration with specialized hardware such as FPGAs and ASICs.

Our collaborative, research-driven environment challenges engineers to push the boundaries of performance, latency, and precision while working alongside researchers, traders, and