Junior SRE
Squarepoint Capital3 months ago
Responsibilities
- Design, implement, and maintain data pipelines for machine learning training and inference.
- Develop and improve workflow orchestration and infrastructure components such as scheduling, resource allocation, data movement, and filesystems.
- Analyze and improve system performance, scalability, and critical code paths.
- Improve the reliability, observability, and usability of ML and HPC platforms.
- Collaborate with quantitative researchers and developers to translate requirements into robust technical solutions.
- Learn existing systems, contribute independently, and progressively take ownership of well-defined platform areas.
Requirements
- A BSc or MSc in Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
- Strong foundations in algorithms, data structures, operating systems, and distributed systems.
- Software development experience in at least one of Python, C++, or Rust.
- Familiarity with writing, testing, and maintaining production-quality code.
- Interest in infrastructure, performance, and large-scale systems.
- Exposure to machine learning workflows, data engineering, or ML platforms.
- Experience working in Linux environments.
- Introductory knowledge of distributed systems, HPC, or cloud platforms for CPU and GPU workloads.
- Experience with profiling, benchmarking, or performance analysis.
- Familiarity with CUDA or other GPU development frameworks is preferred.
Benefits
- Full-time position.
- Strong mentorship and technical guidance from experienced engineers.
- Gradual ownership of meaningful systems and components.
- Exposure to production-grade ML and HPC infrastructure and real-world performance, scalability, and reliability challenges.
- Close collaboration with quantitative researchers and developers.
Categories
About Squarepoint Capital
Squarepoint Capital is a global investment management firm that develops quantitative trading strategies and automated systems for institutional investors. It operates a fee-based asset management model, earning management and performance fees from funds and managed accounts across asset classes and markets. The company is privately held and headquartered in New York, with offices in major financial centers worldwide.