
High-Performance Computing Systems Engineer
13 hours ago
**Job Overview**
We are seeking a skilled Senior HPC Engineer to join our global technology infrastructure team.
This is not a traditional admin or support role — you will be a core enabler of high-performance computing (HPC) and quantitative research within a large-scale financial research environment.
**Key Responsibilities**
- Design, scale, and automate compute and storage platforms for advanced models and experiments.
- Manage quant research platforms and HPC environments.
- Research and experiment with new centralized multi-tenant clustered platforms.
- Troubleshoot complex issues across storage, OS, and networking layers.
- Build tools to improve performance, monitoring, and automation of HPC clusters.
- 5+ years of engineering, deployment, and management of large-scale Linux infrastructure.
- Expertise in distributed file systems and various filesystems.
- Strong knowledge of Linux configuration, troubleshooting, and performance tuning.
- Familiarity with x86/AMD platforms optimized for transaction speed and distributed parallel processing.
- Networking knowledge: 10GE/25GE, InfiniBand, RoCE, RDMA.
- Experience with Linux software RAID, hardware RAID, erasure encoding.
- Infrastructure automation skills: Terraform, Ansible, Puppet, Chef.
- Scripting: Python and Shell.
- Protocol knowledge: NFS (v4.1), CIFS, SMB, ACLs.
- Hybrid and cloud-native HPC deployment experience (AWS preferred).
- Familiarity with AWS storage services (S3, Storage Gateway, EBS).
- Knowledge of AI/ML HPC offerings on cloud platforms (AWS/GCP).
- Experience with HPC job schedulers (Slurm, Condor, Airflow, SGE).
- Hardware familiarity: HPE, Dell, Supermicro systems.
- Commitment to the highest standards of engineering and operational excellence.
- Not just Linux admin/support → You'll architect, engineer, and automate large-scale HPC platforms used for quantitative finance and advanced research.
- Work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
- Exposure to cutting-edge HPC, cloud, and AI/ML workloads at scale.
- Collaborate in a fast-paced, innovation-driven environment where infrastructure is seen as a strategic enabler, not a back-office function.
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