Top Tech Jobs & Startup Jobs

Ten-week internship working on trading floor automation and operations for market-making. Build tools, data pipelines, and automated workflows; investigate production issues; use AI-assisted workflows; collaborate with traders, researchers, and engineers; own a project from definition through implementation under mentorship.

As an FPGA Engineer, you will design and implement high-speed hardware for trading systems, collaborate with traders and developers, and advance low-latency techniques.

Summer internship working with traders, researchers, and engineers to analyze market data, develop quantitative strategies, apply programming and AI tools, run market simulations, and deliver research-backed trading insights.

Lead and mentor a team of engineers, manage global infrastructure, drive automation, ensure system reliability, and influence technical direction.

Design, develop, and maintain trading systems and infrastructure, collaborating with traders and analysts to solve financial market problems.

The Software Engineer will design and develop low-latency trading systems for US equities and ETFs, optimizing data processing and collaborating with traders and engineers.

The Equity Index Macro Analyst will provide research and trade recommendations on macro events affecting equity index markets, working closely with traders to analyze flow dynamics.

As a Senior Software Engineer in the HFT team, you will lead technical projects, develop automated trading strategies, maintain trading infrastructure, and collaborate with researchers.

Design, build, deploy, and operate production-grade AI systems (agent platforms, assistants, evaluation frameworks) integrated with internal data and external services. Evaluate models and architectures, define metrics, ensure reliability, scalability, security, and observability, rapidly prototype new capabilities, and partner with trading and research teams to deliver measurable business impact.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.