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IMC is a proprietary trading firm powered by research and technology.
The Role
Support researchers and ML engineers to optimize and scale HPC workloads on CPU/GPU infrastructure. Analyze performance, diagnose bottlenecks across storage, networking, and schedulers, implement profiling and benchmarking, influence platform design, and define best practices for shared compute environments while ensuring security and compliance.
Summary Generated by Built In
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
Performance Optimization
Project Management
Collaboration
Your Skills and Experience
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
Skills Required
- Experience working with HPC or large-scale compute environments focused on workload performance and optimization.
- Strong understanding of parallel computing concepts and tuning performance on CPUs and GPUs.
- Hands-on experience with GPU acceleration (e.g., CUDA).
- Solid systems knowledge across Linux, storage, and networking to diagnose bottlenecks.
- Experience supporting or optimizing ML, simulation, or data-intensive workloads in shared compute environments.
- Familiarity with containers and orchestration tools like Kubernetes.
- Programming experience, particularly in Python and C++.
- Experience implementing and using performance monitoring, profiling, and benchmarking tools.
- Ability to ensure workloads and platforms meet internal security and compliance standards.
- Strong communication skills and willingness to collaborate with researchers and engineers.
What the Team is Saying
Pierre
Software Developer
Andy
Head of Technology
Aline
Research Analyst
IMC
Aline
Research Analyst
Jim
Trading Desk Lead
Shubham
Software Engineer
Himanshu
Software engineer
Himanshu
Software engineer
IMC Trading
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The Company
What We Do
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 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.
Why Work With Us
At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
60 % of the time
Amsterdam, NL
Chicago, IL
Aarhus, DK
London, GB
Mumbai, Maharashtra
New York City
Sanxia District, TW
Sydney, AU
Zug, CH
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