Graviton Research Capital LLP
Software Engineer – 2027 Graduate | Graviton Research Capital LLP | Gurugram
Graviton Research Capital LLP is a proprietary quantitative trading firm operating in global financial markets. The company combines quantitative research, technology, and data-driven trading strategies across different asset classes.
Founded in 2014, Graviton has grown into a technology- and research-focused organization with specialized teams working across quantitative trading, core engineering, high-frequency trading, low-latency systems, AI and machine learning.
For software engineers, the company offers an environment focused on high-performance computing, complex problem solving, low-latency technology and collaboration with researchers and traders. Its Gurugram office is located in DLF Cyber City.
Job Details
Company: Graviton Research Capital LLP
Role: Software Engineer
Location: Gurugram, Haryana, India
Experience: Freshers / 2027 Graduates
Employment: Full-time
Eligibility
Graduation Year: 2027
Degree: Computer Science, Mathematics, Electrical Engineering or related analytical fields
Minimum CGPA: 8.5/10
No active backlogs
Strong programming and problem-solving skills
Strong understanding of DSA and OOP
C++ knowledge preferred
Candidates interested in high-performance/low-latency systems
Key Responsibilities
Develop high-performance software systems
Work with large-scale market data
Build efficient and low-latency systems
Implement concurrent and multithreaded applications
Optimize software performance
Work with operating systems, networking and computer architecture
Solve complex technical and algorithmic problems
Preferred Skills
C++
Data Structures & Algorithms
Object-Oriented Programming
Operating Systems
Computer Networks
Computer Architecture
Linux
Multithreading & Concurrency
Distributed Systems
High-Performance Computing
C++: Master STL, pointers, memory management, OOP, templates and modern C++.
DSA: Practice arrays, strings, linked lists, stacks, queues, trees, graphs, heaps, hashing and dynamic programming.
Problem Solving: Solve medium/hard coding problems regularly under time limits.
Operating Systems: Prepare processes, threads, scheduling, memory management, synchronization and deadlocks.
Computer Networks: Revise TCP/IP, HTTP, sockets, networking fundamentals and latency.
Concurrency: Learn multithreading, mutexes, locks, race conditions and synchronization.
Computer Architecture: Understand CPU, cache, memory hierarchy, instruction execution and performance.
Linux: Practice command-line tools, processes, files, networking and basic system programming.
High-Performance Systems: Learn latency optimization, efficient memory usage, profiling and performance tuning.
Interview Practice: Focus heavily on C++ coding, DSA and core CS fundamentals. Practice explaining your approach clearly.
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Software Engineer – 2027 Graduate | Graviton Research Capital LLP | Gurugram at Graviton Research Capital LLP
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