HPC Systems Architect

Core Responsibilities

• System Design and Implementation
• Lead the implementation of advanced HPC systems tailored to high-impact applications, including machine learning workloads
• Integrate cutting-edge technologies to enhance computational power and capabilities
• Evaluate and select best-in-class hardware and software solutions, optimizing our infrastructure for peak performance, scalability, efficiency, and reliability
• Partner with global teams to establish and enforce architectural standards and best practices across HPC environments
• Ensure seamless interoperability between different systems and teams, creating a cohesive, high-performance environment that aligns with IMC’s long-term business goals

Performance Optimization

• Develop and deploy solutions to continuously optimize system performance and resource utilization across the HPC ecosystem
• Implement sophisticated monitoring and analytics tools to proactively identify and resolve performance bottlenecks

Project Management

• Lead and manage the full lifecycle of HPC projects, from concept through implementation, ensuring projects are delivered on time, within budget, and to the highest standards
• Oversee resource allocation, budgeting, and timeline management, driving the successful execution of critical projects
• Develop policies for allocating compute time, storage, and networking resources to users based on priority, need, and fairness

Collaboration

• Act as a trusted technical advisor to senior leadership, offering strategic insights on emerging HPC trends and their potential impact on the trading industry
• Collaborate closely with quant researchers, software engineers, and traders to understand computational requirements and translate them into scalable, high-performance solutions
• Persistently engage with global teams to coordinate system design, resource allocation, and parallel project delivery, ensuring the consistent expansion of our global research environment
• Evaluate success based on the HPC environment’s utilization and end-user satisfaction