Top Tech Jobs & Startup Jobs in NYC, NY

Design, implement, and maintain low-latency, high-performance network infrastructure for trading systems. Partner with engineering teams to automate, monitor, and troubleshoot distributed networks, optimize performance, ensure resilience and security, and evaluate emerging technologies to improve scalability and reliability.

Build and optimize low-latency, high-performance C++ trading systems for crypto markets; partner with researchers and traders to productionize strategies; optimize latency, throughput, reliability; implement pricing, risk, and execution logic; analyze large-scale market and trade data; ensure resilience, testing, and scalability across global venues.

Analyze financial markets and securities using fundamental and quantitative research. Develop sector expertise, identify pricing inefficiencies, transform unstructured data into signals, monitor market trends, and collaborate with traders to create actionable trade ideas during an 11-week internship.

Build high-performance trading tools and large-data research platforms in small teams. Design system architectures, develop resilient production software, and apply distributed computing, NLP, and machine learning to solve complex quantitative problems while collaborating with engineers, traders, and researchers.

Join as an FPGA engineering intern to design, implement, and test FPGA solutions for ultra-low latency trading systems. Improve system efficiency and performance via RTL coding, synthesis, simulation, and hardware validation while collaborating in small teams with engineers and business stakeholders.

As a Software Engineer in Test, you'll build Python frameworks and C++ hooks to verify system correctness, accelerate CI/CD, and manage performance testing across equities.

11-week software engineering internship building high-performance research platforms and trading tools. Work in small teams to design systems, develop platforms and web frameworks, and apply distributed computing, NLP and machine learning. Collaborate with senior engineers, network with peers, and contribute code that rapidly moves into production.

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

Conduct research and develop automated trading strategies using advanced statistical techniques and programming skills. Collaborate in a fast-paced team to innovate and implement quantitative models.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.