
Senior High Performance Computing Systems Engineer
1 day ago
We are seeking an experienced systems engineer to design and manage high-performance computing (HPC) environments.
This role will involve architecting, engineering, and automating large-scale HPC platforms used for quantitative finance and advanced research.
The ideal candidate will have expertise in distributed file systems, Linux configuration, and infrastructure automation.
About the Role
- Design and 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.
- Drive efficiency through automation of provisioning and housekeeping.
Required Skills and Qualifications
- 5+ years of experience in engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure.
- Expertise in distributed file systems (Lustre, GPFS) and a variety of filesystems (ZFS, XFS, ext4).
- Strong knowledge of Linux (RHEL/CentOS/Ubuntu) configuration, troubleshooting, and performance tuning.
- Familiarity with x86/AMD platforms optimized for both 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.
What You'll Gain
- 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.
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