Bridgewater Associates LP
Investment Engineer
New York City · Full-time
Work authorization required$225k-$450kDetected 33 days ago
PythonJavaC++Distributed SystemsData StructuresAlgorithmsMachine LearningData EngineeringLLMsResearchCollaboration
About the role
- For 50 years, Bridgewater has pursued one idea: the world can be understood.
- Markets and economies follow cause-and-effect relationships-and by understanding them, we think we can beat the markets and generate true uncorrelated returns ("alpha") at significant scale.
- Our clients include some of the world's most sophisticated institutional investors who turn to us to use our unique insights to solve their biggest problems.
Responsibilities
- Design, build, and own the systems that power our investment process.
- You will architect and implement the systems that make this possible-ensuring they are performant, reliable, testable, and built to evolve as our investment thinking advances.
- This means working closely with researchers to deeply understand intent, designing clean abstractions, building thorough test harnesses, and ensuring that what runs in production faithfully reflects what was designed in research.
- Build and evolve our technology platform.
- With the rise of AI-native development tools, large language models, and new paradigms in data processing and systems design, we need engineers who can evaluate these technologies critically and integrate them where they create real leverage-accelerating development velocity, improving system quality, or enabling entirely new capabilities.
- Our investment strategies seek to understand and navigate macroeconomic shifts that drive the world's most liquid markets (bonds, currencies, equities, commodities, credit).
- Our approach is to start by digging deep to develop a fundamental cause-effect understanding of the economic and financial relationships that drive markets.
Requirements
- And your inventiveness is grounded in real engineering discipline-you know that production-grade craft is what separates a clever prototype from lasting edge.
- You know that the gap between "works in research" and "works in production" is where most value is created-or destroyed.
- Strong software engineering fundamentals-data structures, algorithms, system design, and a track record of building and shipping production systems
- Several years of professional experience in software engineering, infrastructure, data engineering, or ML engineering-in technology, finance, or another demanding environment
- Proficiency in one or more languages commonly used in quantitative systems (e.g., Python, Java, C++) and comfort picking up new tools quickly
- Experience designing systems that handle complex data processing, real-time or near-real-time workloads, or high-reliability requirements
- A strong interest in financial markets, economics, or quantitative investing-you don't need a finance background, but you should be genuinely excited to learn the domain deeply
- A collaborative, low-ego working style and a drive to grow rapidly through direct feedback and hard problems
- Compensation
- The total compensation range across these roles is $225,000-$450,000 inclusive of base salary and discretionary target bonus. The expected base salary is typically 50%-75% of the relevant range, depending on team, level, and experience.
- One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater's benefits on our website here.
- Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.
Compensation
- The total compensation range across these roles is $225,000-$450,000 inclusive of base salary and discretionary target bonus.
- The expected base salary is typically 50%-75% of the relevant range, depending on team, level, and experience.
- Nothing in this job description constitutes an offer or guarantee of employment.
- The Investment Engineer full time position requires the candidate to be eligible to work in the United States for a minimum of 3 years from the candidate's start date.
- If visa sponsorship is required for any part of the three years, the successful candidate must demonstrate continuous, or eligibility to renew, work authorization in the United States for at least three years after the date of hire, without being subject to selection through a lottery process.
Benefits
- Since 2012, Bridgewater has aggressively pursued the vision of the artificial investor that can do everything a human can, with computers not just representing the insights but also generating the insights themselves.
Visa & Work Authorization
- If visa sponsorship is required for any part of the three years, the successful candidate must demonstrate continuous, or eligibility to renew, work authorization in the United States for at least three years after the date of hire, without
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This listing is sourced directly from Bridgewater Associates LP's careers page and normalized into a canonical job model.