Software Engineer (2027 Graduate)

Software Engineer

Build technology where every nanosecond matters.

At Graviton, software isnt 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, youll work on systems where performance, reliability and precision matter at an extraordinary scale. Youll 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.

Youll take on problems that dont 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.

Your work will go into production, be measured against real-world performance and have a direct impact on how our trading systems operate.

If you enjoy solving hard engineering problems, understanding systems at a deep level and pushing technology to its limits, youll feel right at home.

What Youll Work On

Youll work across the engineering stack that powers our quantitative research and trading platforms.

Depending on your team, your work may include:

• 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.

The problems are hard. The systems are real. And the impact is measurable.

The Engineering Challenge

At Graviton, youll encounter engineering problems where traditional solutions arent always good enough.

Youll think about questions like:

• How do you make a system faster without compromising correctness
• How do you process enormous amounts of data without introducing unnecessary latency
• How do you design software that remains reliable under extreme workloads
• How do you find a bottleneck that exists for only a few microseconds
• How do you build infrastructure that enables researchers to experiment faster
• How do you balance performance, simplicity and maintainability in systems that operate at extraordinary speed

Youll be expected not just to write code, but to understand the system, challenge assumptions and find better ways to solve the problem.

Ownership From Day One

At Graviton, engineers are trusted with meaningful problems early.

Youll work closely with experienced engineers and quantitative researchers, receive thoughtful technical feedback and have the opportunity to own projects end-to-end.

That means going beyond implementation:

Understand the problem design the solution build it measure it improve it take it to production.

Youll participate in code reviews, architecture discussions and technical design sessions, while learning from people who have spent years building high-performance systems.

What Success Looks Like

Over time, successful engineers at Graviton:

• Own critical systems and engineering projects end-to-end.
• Build software that directly supports quantitative research and live trading.
• Solve complex performance, scalability and reliability challenges.
• Make systems faster, simpler and more robust.
• Develop a deep understanding of the systems they build - from application code down to hardware and networking.
• Challenge existing approaches and introduce better solutions.
• Become trusted technical partners to quantitative researchers and other engineers.
• Continuously raise the engineering standards of the teams they work with.

Your impact isnt measured by how much code you write. Its measured by what that code enables.

Who Were Looking For

Were looking for exceptional engineers who enjoy building things, understanding how systems work and solving problems that require deep technical thinking.

Education

• Degree in Computer Science, Mathematics, Electrical Engineering or another highly analytical field.
• CGPA of 8.5 or above.
• No active backlogs.

Technical Foundation

You should have:

• 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.

Prior experience with high-performance computing, distributed systems, Linux, networking or quantitative trading is valuable, but we care more about your ability to learn, reason and solve difficult problems.

What We Value

Beyond technical skills, were interested in how you think.

We look for engineers who are:

• Curious enough to understand how things work beneath the surface.
• Analytical enough to break down complex problems.
• Persistent enough to keep digging when the obvious solution doesnt work.
• Pragmatic enough to balance performance, correctness and simplicity.
• Detail-oriented enough to care about the edge cases.
• Collaborative enough to challenge and learn from others.
• Ambitious enough to keep raising the bar.

Why Graviton

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 worlds most technically demanding trading firms.

About Graviton Research Capital: 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.

Build What Moves Markets.

Solve hard problems. Build exceptional systems. Make an impact.