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Graviton

high-frequency trading · quantitative research

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

IndiaPosted 1 month ago
Software engineeringInternFull Time; Regular
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Software Engineering Intern (Ultra Low Latency) Every nanosecond matters. In high-frequency trading, every optimization, every instruction and every decision can create a measurable competitive advantage. At Graviton, our software engineers build the systems that power live trading. They design infrastructure that processes enormous volumes of market data, optimize execution paths measured in nanoseconds and develop technology where performance isn't estimated - it's measured. As a Software Engineering Intern, you'll spend eight weeks working on the critical systems that sit at the heart of our trading platform. 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. This isn't an internship where you'll spend weeks fixing minor bugs or working on isolated projects. You'll own meaningful engineering problems from design through deployment, contribute to production systems and experience what it means to engineer software at the limits of modern hardware. If you enjoy building high-performance systems, understanding how computers really work and pushing technology beyond conventional limits, you'll fit right in. What You'll Work On Over eight weeks, you'll contribute to the engineering systems that power systematic trading. Your work will include: - Building and optimizing ultra-low latency systems using contemporary 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 .

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