HPC Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

IMC TradingJobs
HPC Engineer

HPC Engineer

Posted 6 Hours Ago
Be an Early Applicant
Chicago IL USA
Hybrid
Mid level
Fintech • Machine Learning • Software • Financial Services
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 technology is not a department; it's at the heart of everything we do. Developed in-house our systems power world-class research and trading enabling teams to make faster and better decisions every day. Our high-performance computing platforms sit at the core of this capability supporting large-scale simulation research and machine learning workloads across the firm.
We're looking for an HPC Engineer to work closely with Researchers Machine Learning Engineers and Software Engineers to get the most out of our compute platforms. This role is about applying deep systems and parallel computing expertise to help users get the best possible performance from modern CPU and GPU-based infrastructure.
Your Core Responsibilities:
As an HPC Engineer you'll act as a technical partner to our compute users helping translate computational problems into efficient scalable workloads. You'll work across teams to improve performance throughput and reliability while shaping best practices for how HPC resources are used across IMC.
  • Partner with Researchers Quants and MLEs to analyze optimize and scale HPC workloads across CPU and GPU platforms
  • Support and optimize ML and simulation workloads with a focus on performance resource efficiency and scalability
  • Apply deep understanding of storage networking and scheduling systems to improve end-to-end workload performance
  • Define and promote best practices for running large-scale workloads on shared HPC infrastructure
  • Work with platform teams to influence system design decisions based on real workload behavior and performance data
  • Implement and use performance monitoring profiling and benchmarking tools to drive continuous improvement
  • Ensure workloads and platforms meet internal security and compliance standards

Your Skills and Experience
  • Experience working with HPC or large-scale compute environments with a strong focus on workload performance and optimization
  • A solid grasp of parallel computing concepts and how to tune performance on CPUs and GPUs
  • Hands-on experience with GPU acceleration (e.g. CUDA) and an understanding of how GPU workloads really behave
  • Solid systems knowledge across Linux storage and networking; enough to diagnose bottlenecks and guide users effectively
  • Experience supporting or optimizing ML simulation or data-intensive workloads in shared compute environments
  • Familiarity with containers and orchestration tools like Kubernetes is beneficial
  • Programming experience is advantageous particularly in Python and C++
  • Strong communication skills and a genuine interest in helping others get better performance from complex systems
  • A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment

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

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The Company
HQ: Amsterdam
1954 Employees
Year Founded: 1989

What We Do

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989 we’ve been a stabilizing force in financial markets providing essential liquidity upon which market participants depend. Across our offices in the US Europe Asia Pacific and India our talented quant researchers engineers traders and business operations professionals are united by our uniquely collaborative high-performance culture and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies and from developing an innovative research environment to diversifying our trading strategies we dare to continuously innovate and collaborate to succeed.

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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About our Teams

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 60 % of the time
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Date Posted

06/24/2026

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