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Intern Software Engineer 2028 Graduates Gurugram

1.00 to 10.00 Years   Gurugram   01 Aug, 2026
Graviton Research Capital
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Software Engineering InternEvery outstanding trading strategy depends on exceptional engineering.At Graviton, software is the infrastructure that enables every research breakthrough, every trading decision and every competitive advantage.As a Software Engineering Intern, youll spend eight weeks building systems that power our quantitative research and live trading platforms. Youll work alongside experienced software engineers, quantitative researchers to solve engineering problems where performance, reliability and precision are essential.This isnt an internship where youll spend weeks reading documentation or fixing low-priority bugs. From your very first week, youll write production-quality software, build systems that process enormous volumes of market data and contribute to infrastructure that supports live trading. Your work will be reviewed, deployed and measured by the standards of a world-class engineering team.If you enjoy building elegant software, solving complex systems problems and pushing technology to its limits, youll feel right at home.What Youll Work OnOver eight weeks, youll contribute to the engineering systems that enable contemporary systematic trading.Your work will include:Designing and building software components that power our trading and quantitative research platforms.Developing high-performance applications in up-to-date C and across our engineering stack.Building distributed systems that process and analyze massive volumes of market data.Optimizing systems where latency, throughput and reliability directly influence trading performance.Debugging complex production systems and improving performance through thoughtful engineering.Developing internal tools and platforms that accelerate research and engineering productivity.Building AI-powered developer tools and intelligent automation that improve software development workflows.Collaborating closely with quantitative researchers and traders to transform ide .

Keyskills :
Software EngineeringDistributed SystemsDebuggingAutomationMarket Data Analysis

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