Intern - Software Engineer - Ultra Low Latency (2028 Graduates)

About the Role

As a Software Engineering Intern at Graviton Research Capital LLP, you'll spend eight weeks working on critical systems that power live trading. You'll collaborate with experienced engineers and researchers to solve challenging performance problems, build production-quality systems, and deliver optimizations that have a direct impact on live trading.

Key Responsibilities

• Building and optimizing ultra-low latency systems using modern C++
• Designing FPGA components using VHDL/Verilog for latency-critical workflows
• Profiling applications to identify bottlenecks across CPU architecture, memory hierarchy, threading, and networking
• Developing benchmarking, monitoring, and profiling tools that improve engineering productivity
• Optimizing market data processing and order execution pipelines
• Collaborating with quantitative researchers and infrastructure engineers to translate ideas into production systems
• Designing experiments that quantify performance improvements down to the nanosecond

Skills & Qualifications

• Expected graduation in 2028
• Pursuing a Bachelor's or Integrated Master's degree in Computer Science, Electrical Engineering, or Mathematics
• CGPA of 8.5 or above
• No active backlogs
• Strong programming skills in modern C++
• Understanding of operating systems, computer architecture, and data structures
• Familiarity with concurrency, networking, or systems programming
• Experience with performance optimization through coursework, projects, or competitive programming

What You'll Learn

Over eight weeks, you'll gain practical experience building the technology that powers one of the world's leading quantitative trading firms. You'll develop hands-on experience in modern C++ for high-performance systems, low-latency systems design, CPU architecture, cache optimization, and memory management.

Resume Tip

When applying for this role, make sure to highlight your experience with performance optimization, concurrency, and systems programming. Emphasize your ability to work on complex engineering challenges and your passion for building high-performance systems.