HPC Systems Architect

Requirements:

  • Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or a related field
  • Extensive experience (typically 10+ years) in HPC architecture, system design, or a similar role within a large-scale compute environment
  • Deep expertise in some or all of the following areas:
    • HPC system design and optimization
    • Linux systems administration
    • Enterprise storage solutions (e.g., Vast, DDN, Isilon)
    • HPC management tools (e.g., Kubernetes, Docker, Slurm)
    • High-performance processors and compute offload devices (e.g., GPUs)
    • Low-latency network architecture, including high-speed interconnects (e.g., InfiniBand, Ethernet)
    • Datacenter design and optimization
    • AI/ML frameworks and their integration into HPC systems
    • Programming languages such as Python, Go, C++, or similar
  • Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences
  • Proven ability to influence decision-making and align global teams to achieve a unified vision

What You'll Be Doing:

  • Architect and oversee 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
  • 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
  • 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
  • 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
  • Partner 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
AI Summary ✨

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