Principal HPC Engineer

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an HPC Engineer to join our team.

 We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. 

Position Highlights:
  We are seeking a highly skilled and visionary Principal HPC Engineer to support and enhance our expanding HPC platform.
  This role requires deep technical expertise and the ability to drive innovation across container, compute, storage, networking, and scheduler architectures.

  The ideal candidate will work closely with research and technology teams, key vendor partners, and internal and external open-source communities to develop next-generation HPC solutions.

Key Responsibilities:

• Leading the design, development, and optimisation of large-scale HPC infrastructure, including compute, container, storage and networking layers.
• Shaping and scaling the HPC roadmap in partnership with Research and Engineering teams.
• Researching, evaluating and integrating emerging technologies such as GPUs, DPUs, AI-driven workflows, storage solutions, and high-speed interconnects.
• Defining best practices for cluster management, workload scheduling, data lifecycle and sustainable operations.
• Ensuring high availability, reliability, security and efficiency across the HPC platform, while automating deployment and monitoring of HPC workloads.

The ideal candidate will have the following skills and experience:

• 5 years’ experience in HPC architecture, research or large-scale infrastructure design.
• Deep knowledge of HPC cluster design, parallel computing and high-speed networking (e.g. InfiniBand, RDMA, RoCE).
• Experience with NVIDIA GPU computing, CUDA, AI/ML accelerators and high-density compute architectures.
• Strong background in distributed storage systems such as VAST, Weka, Lustre, Ceph and GPFS.
• Proficiency in HPC workload schedulers (e.g. Aramda, Slurm, PBS, Kubernetes-based orchestration).
• Expertise in Linux kernel tuning, performance profiling and system-level optimisation.

About you:

• Excellent analytical and problem-solving skills. 
• Deep passion for trading.
• Passion for continuous learning.
• Strong sense of responsibility and ownership mindset.
• Prioritize high-impact work and collaborate in a dynamic research environment.

• Competitive rates of paу.
• Paid time off.
• Coverage of health insurance costs.
• Discretionary bonus system.