High Performance Computing Engineer

Entec Partners; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Entec Partners is building a world-class Research Platform for AI/ML and scientific computing workloads in Miami, FL. We seek highly motivated engineers to join HPC efforts across distributed, cloud-powered systems.

Ideal candidates have strong experience in C++ and/or Python, a track record of identifying performance bottlenecks, and familiarity with high-performance architectures. You will design, implement, and optimize libraries and pipelines for quantitative research and trading.

Qualifications

• Experience with C++ and/or Python.
• Experience with identifying performance bottlenecks: at a low-level, OS, software architecture, or in distributed systems.
• Familiarity with high-performance computer architectures.

Responsibilities

• 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

C++

Python

Performance optimization

HPC architectures

Job description

Top Tier Trading firm is building the world's most performant Research Platform for Al/ML/Stats/ Scientific Computing workloads in the world.

I am 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.

Objectives

• 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