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engineeringjobs.net, Inc. is seeking a software engineer to build data pipelines, trading signals, research infrastructure, and automated execution systems in San Francisco. You will own projects from idea to production while collaborating with quantitative researchers on trading and AI-driven systems.
The role emphasizes tuning for low-latency execution, security, and robust data analysis in a fast-paced market environment.
Build data pipelines, trading signals, research infrastructure, and automated execution systems using social, prediction market, and financial market data. Own projects from initial idea through production, working closely with quantitative and AI researchers on trading, high-frequency trading infrastructure, security, and machine learning systems.
Candidates should have 1 to 5 years of software engineering or quantitative development experience, a degree in computer science, mathematics, statistics, or physics, and exceptional Python or C++ skills. They should have shipped an end-to-end project, demonstrate statistical intuition and comfort with noisy data, have experience with AI-driven development, and show curiosity about markets and ability to work in ambiguity.
Python, C++, Artificial Intelligence, Machine Learning, Data Pipelines, Quantitative Development, Trading Systems, Low-Latency Execution, Statistical Analysis, Market Data Analysis, Research Infrastructure, Automated Execution, On-Chain Data, Prediction Markets, Security, End-to-End Project Ownership
Equity, Performance Bonus, Visa Sponsorship, Relocation Support