High Performance Computing Engineer
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
Overview :
Citadel Securities is building the world's most performant Research Platform for AI / 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.
The Citadel Securities Research Platform comprises of world class highly talented individuals spanning North America (Miami), Europe (Zurich) and Asia (Hong Kong).
The primary city for these positions will be Zurich but other possibilities can be available.
Read more about our work in this recent blog post : How Citadel Securities reimagines quantitative research on the cloud for speed and scale Google Cloud Blog
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 I / O 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 skills 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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