HPC Systems Architect

At IMC, we thrive on pushing boundaries, embracing innovation, and leveraging cutting-edge technology to stay ahead in the competitive trading landscape. We are seeking an exceptional HPC Systems Architect who will lead the charge in designing, implementing, and optimizing our global HPC infrastructure, driving innovation, and delivering scalable solutions that empower our advanced computational needs.

Your Core Responsibilities:

System Design and Implementation

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

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

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

Your Skills and Experience:

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

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.