High-Performance Computing Engineer
2 weeks ago
As a High-Performance Computing Engineer at Tower Research Capital, you will be responsible for designing, implementing, and managing HPC systems to support trading operations. This includes proposing and implementing an approach for Infrastructure as Code (IaC), creating APIs to enhance scalability and manageability of our storage. You will also approach problems with a developer mindset, creating scalable and maintainable code to enhance our infrastructure. Additionally, you will optimize and maintain storage solutions, focusing on performance, reliability, and scalability. Furthermore, you will develop and enforce best practices and guidelines for storage interaction to ensure security and efficiency. You will also implement and manage GPU-based solutions to accelerate computational workloads, balancing on-premises and cloud resources. Finally, you will collaborate with cross-functional teams to drive technology enhancements and operational efficiency.
Requirements
To be successful in this role, you will need a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You will also require 5+ years of experience in HPC, storage systems, and GPU computing. Strong communication skills and the ability to work effectively in a team are also essential. A developer mindset, with a focus on creating scalable, maintainable, and efficient solutions, is also required. Experience in software development, particularly in scripting and automation using languages like Python, is highly desirable. Knowledge of parallel file systems (e.g., GPFS), batch systems (e.g., Slurm, Grid Engine), and high-performance network interconnects is also necessary. Strong Linux systems administration skills are also required. Experience with VAST and Weka storage solutions is highly desirable. A solid understanding of trading infrastructure and low-latency systems is also essential. Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment are also required. Finally, skills in managing hybrid cloud/on-premises environments are highly desirable.
Preferred Qualifications
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is highly desirable. Familiarity with cloud computing platforms and hybrid cloud environments is also highly desirable. Knowledge of automation using Python is also highly desirable. Experience proposing and implementing Infrastructure as Code (IaC) practices from the ground up is highly desirable. Expertise in balancing on-premises and cloud-based GPU resources to optimize performance and cost is highly desirable. Finally, experience with GPU-based solutions to accelerate computational workloads is highly desirable.
Benefits
Tower Research Capital offers a competitive salary and discretionary bonuses. You will also receive 5 weeks of paid vacation per year. Lunch and snacks are provided on a daily basis. Reimbursement for health and wellness expenses is also available. Free events and workshops are also offered.
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High-Performance Computing Engineer
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Montreal, Quebec, Canada Tower Research Capital Full timeJob DescriptionTower Research Capital is seeking a highly skilled High-Performance Computing Engineer to join our team.ResponsibilitiesDesign, implement, and manage high-performance computing systems to support trading operations.Develop and implement an approach for Infrastructure as Code (IaC), creating APIs to enhance scalability and manageability of our...
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Montreal, Quebec, Canada Tower Research Capital Full timeJob DescriptionTower Research Capital is seeking a highly skilled High-Performance Computing Engineer to join our team.ResponsibilitiesDesign, implement, and manage high-performance computing systems to support trading operations.Develop and implement an approach for Infrastructure as Code (IaC), creating APIs to enhance scalability and manageability of our...
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