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Graviton Research Capital LLP
1 posting · 1 open role
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About Graviton Research Capital LLP
Founded in 2014, Graviton Research Capital has grown from a small team of researchers and technologists into a global quantitative trading firm.
Our success is built on exceptional people, rigorous research and world-class engineering.
Across specialized trading teams, quantitative researchers and engineers work together to solve some of the most challenging problems in financial markets. Teams operate with significant autonomy while sharing a common ambition: to continuously push the boundaries of mathematics, technology and quantitative research. We believe that exceptional outcomes come from giving exceptional people the freedom to think deeply, move quickly and build things that matter.
Job posts (1)
Explore Exciting Fresher & Experienced Roles at Graviton Research Capital LLP
Posted September 4, 2026 · 1 role
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Explore Exciting Fresher & Experienced Roles at Graviton Research Capital LLP
Posted September 4, 2026 · 1 role
Software Engineer (2027 Graduate)
FresherDevelopment
Delhi NCR, Gurugram, Haryana, India2027 Graduate
Skills
C++Data StructuresAlgorithmsObject-Oriented ProgrammingOperating SystemsComputer ArchitectureNetworkingDistributed SystemsLinuxConcurrencyMultithreadingHigh-Performance ComputingAI
Qualification
- Degree in Computer Science, Mathematics, Electrical Engineering or another highly analytical field.
- CGPA of 8.5 or above.
- No active backlogs.
- Strong programming skills, preferably in C++.
- Excellent understanding of data structures, algorithms and object-oriented programming.
- Strong fundamentals in operating systems, computer architecture and networking.
- Strong analytical and problem-solving ability.
- A passion for writing clean, efficient and reliable software.
Skills Required
- At Graviton, software isn't just a tool that supports trading. It is the infrastructure behind every research breakthrough, every trading decision and every competitive advantage.
- As a Software Engineer, you'll work on systems where performance, reliability and precision matter at an extraordinary scale.
- You'll partner closely with software engineers and quantitative researchers to build technology that processes enormous volumes of market data, powers quantitative research and supports live trading.
- You'll take on problems that don't have obvious answers — from designing high-performance systems and distributed infrastructure to eliminating bottlenecks measured in microseconds and building tools that make our researchers and engineers faster.
Roles & responsibilities
- Designing and building high-performance, low-latency systems in modern C++.
- Building distributed systems that process and analyze massive volumes of market data.
- Designing systems where latency, throughput and reliability directly influence trading performance.
- Working on Linux systems, networking, concurrency and multithreaded applications.
- Profiling systems, identifying bottlenecks and optimizing performance at the hardware and software level.
- Building robust infrastructure that supports quantitative research and live trading.
- Debugging complex production systems and solving problems where correctness and reliability are critical.
- Designing internal platforms and developer tools that accelerate research and engineering productivity.
- Exploring AI-powered developer tools and intelligent automation to improve engineering workflows.
- Collaborating with quantitative researchers to turn ideas and models into reliable production systems.
- Participating in architecture discussions, technical design reviews and code reviews.
- Taking ownership of systems from design and implementation through deployment, monitoring and continuous improvement.
Other Information
- Real Engineering Problems: Work on systems where performance, reliability and correctness have a direct impact on trading.
- Exceptional People: Learn alongside some of the strongest software engineers and quantitative researchers in the industry.
- Technology at the Edge: Work with high-performance computing, low-latency networks, distributed systems and advanced engineering infrastructure.
- Meaningful Ownership: Take responsibility for real systems and projects from design through production.
- Flat by Design: There are no layers between a good idea and the people who can build it. Ideas matter more than titles.
- Rewards That Match Impact: Competitive compensation with performance-driven growth and the opportunity to build a long-term career at one of the world's most technically demanding trading firms.