High-Performance Computing Engineer (experienced)

Oct 1, 2023

Job Description:

Midas Technologies is seeking a highly motivated and skilled High-Performance Computing Engineer to join our team. The successful candidate will be responsible for developing, implementing, and optimizing high-performance computing (HPC) systems to support our quantitative trading and research operations.

Key Responsibilities:

Design, develop, and implement high-performance computing systems to support complex quantitative trading and research operations.
Collaborate closely with our trading and quantitative research teams to understand their computational requirements and provide appropriate solutions.
Optimize existing HPC systems for performance, reliability, and efficiency.
Conduct ongoing performance testing, monitoring, and troubleshooting of HPC systems.
Stay current with advancements in HPC technologies and apply this knowledge to drive continuous improvement.
Provide technical support and training for users of the HPC environment.

Qualifications:

A Bachelor’s or advanced degree in Computer Science, Electrical Engineering, or a related field.
Demonstrated experience with high-performance computing, parallel computing, or distributed systems.
Proficiency in C++, Python, and Bash.
Experience with workload manager such as PBS Pro, Torque, and Slurm.
Experience with low-latency and high-throughput system design and optimization.
Experience with distributed storage technologies.
Familiarity with quantitative methods or experience working in a quantitative environment.
Strong analytical and problem-solving skills with a high attention to detail.
Excellent communication skills to collaborate effectively within a diverse team environment.
Fluency in English.

At Midas Technologies, we offer a competitive salary and benefits package, as well as a dynamic and stimulating work environment. If you are passionate about HPC and want to work with cutting-edge technologies in a fast-paced, high-stakes industry, we encourage you to apply.