BG

About the job

Top Tier Trading firm is building the world's most performant Research Platform for Al/ML/Stats/ Scientific Computing workloads in the world. We are looking for highly motivated candidates interested in all aspects of HPC for large scale distributed, cloud powered, computing. Strong knowledge in one or several of the following areas are highly desired: Systems, HPC, Parallel & Distributed Computing, ML Systems, Algorithms and Numerics. This Research Platform comprises of world class highly talented individuals spanning North America, Europe and Asia.

Responsibilites

  • Support quantitative research and trading by designing, implementing and improving proprietary libraries and machine-learning pipelines
  • Leverage modern computer architectures to improve throughput or reduce cost Skills
  • Support quantitative research and trading by designing, implementing and improving proprietary libraries and machine-learning pipelines
  • Experience working in C++ and/or Python
  • Experience with identifying performance bottlenecks: at a low-level, induced by the OS, from software architecture, or in a distributed system
  • Familiarity with high-performance computer architectures

Requirements

  • Support quantitative research and trading by designing, implementing and improving proprietary libraries and machine-learning pipelines
  • Experience working in C++ and/or Python
  • Experience with identifying performance bottlenecks: at a low-level, induced by the OS, from software architecture, or in a distributed system
  • Familiarity with high-performance computer architectures

Compensation

Starting at $300K/yr + Bonus, Sign on Bonus and Profit sharing

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