Low-Latency C++ Systems Engineer

Quadeye; Hinoba-an; On-site; PHP 1,649,000 - 2,771,000; Full time

Job summary

Quadeye, a trading-focused firm, is seeking talented software engineers to design and develop robust, resilient, and speedy trading systems that power proprietary strategies. You will collaborate with software and quantitative professionals to tackle low-latency, high-performance computing challenges.

Responsibilities include end-to-end ownership of modules, from requirements to deployment, and researching techniques to reduce latency across OS, kernel, networking, and CPU architectures.

Qualifications

• Engineering degree in Computer Science or equivalent from premier institutes.
• Strong problem-solving skills and quantitative aptitude.
• Solid understanding of data structures, algorithms, and object-oriented programming, preferably in C++ or C.
• Ability to multitask and perform in a fast-paced environment.
• Strong work ethic and communication skills.

Responsibilities

• Design and implement real-time trade execution and risk management systems with nanosecond-level latency sensitivity.
• Identify performance bottlenecks and optimize code to achieve lower latency and higher throughput.
• Take end-to-end ownership of modules including requirements gathering, design, implementation, testing, and deployment.
• Research and experiment with techniques to reduce latency across OS, kernel, networking stack, kernel bypass, system tuning, CPU architecture, cache-efficient data structures, and scalable algorithms.
• Develop and deploy performance monitoring tools (CPU/network/memory) and algorithms.
• Collaborate closely with engineers, quants, and traders to deliver high-performance and highly reliable systems.

Skills

C/C++ programming

Problem solving

Communication

Multitasking

Education

Engineering degree in Computer Science or equivalent

Tools

C/C++

Job description

Quadeye, a trading-focused firm, is seeking talented software engineers to design and develop robust, resilient, and speedy trading systems that power proprietary strategies. You will collaborate with software and quantitative professionals to tackle low-latency, high-performance computing challenges.

Responsibilities include end-to-end ownership of modules, from requirements to deployment, and researching techniques to reduce latency across OS, kernel, networking, and CPU architectures.