HPC Engineer - Doral, United States - Citadel Enterprise Americas LLC

Description

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

Identify compute waste and bottlenecks and deliver cost-efficient solutions at scale

Measure delivered improvements using quantitative metrics

Customize solutions for results and adoption with partner teams


Qualifications:
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

Strong problem-solving skill and quantitative orientation

Proven track record of being a goal-oriented individual

Ability to work independently and prioritize high-impact projects

Strong communication and interpersonal skills applicable to a dynamic research environment

Minimum Master's degree (or equivalent experience) in Computer Science or related field

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