Senior HPC Software Engineer (Distributed Systems) - J12532

The Opportunity: Powering the Future of Quantitative Research

Our client is a premier global systematic investment manager that treats technology as its primary competitive advantage. Operating at the intersection of data science and high-frequency finance, they are seeking a Senior Software Engineer to architect the next generation of their HPC Research Platform.

In this role, you aren’t just building a backend; you are building the "super-computer" scaffolding that allows PhD researchers to backtest hypotheses against petabytes of market data. You will own the services that underpin job submission, scheduling, and observability for one of the most sophisticated compute clusters in the world.

Key Challenges

• Orchestration at Scale: Design and implement software to manage massive compute clusters using an orchestration-driven approach.
• High-Performance Tooling: Develop APIs and libraries (Python/Go) that abstract complex infrastructure into seamless research tools.
• Systems Engineering: Solve "hard" distributed systems problems—concurrency, latency, and data consistency across global environments.

The Profile

• Experience: 5+ years of software engineering with a degree (BSc/MSc/PhD) in Computer Science or a similar technical field.
• Systems Master y: Proven expertise in Large-Scale Distributed Systems and HPC (High-Performance Computing).
• Polyglot Mindset: Mastery of Python and a strong interest or experience in Go for performance-critical systems.
• Proactive Innovator: A desire to work with state-of-the-art infrastructure and a collaborative mindset to interface with Quantitative Researchers.

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Tiffany Tung at [email protected] and put Senior HPC Software Engineer (Distributed Systems) - J12532 in the subject header.

Data provided is for recruitment purposes only.

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