HPC Systems Engineer

Location: Bala Cynwyd, PA (Philadelphia Area)
Department: Infrastructure Engineering & Systems Optimization
Start Date: Immediate
Job Type: Full-Time | Experienced Hire

About the Role

We’re looking for an HPC Engineer to lead the design, management, and performance tuning of our high-performance computing environment. This is your chance to work at the core of a fast-moving, technology-driven organization that powers complex research and trading systems at scale.

You’ll build resilient compute clusters, streamline automation, and ensure our platforms remain highly available, ultra-fast, and future-ready.

What You’ll Be Doing

Automate and Optimize

• Build internal tooling (Python, Bash) for diagnostics, monitoring, and maintenance
• Automate daily operations to focus on performance tuning and strategic improvements

Collaborate Across Teams

• Partner with quants, developers, and app teams to solve infrastructure bottlenecks
• Work hand-in-hand with storage and networking teams to deliver end-to-end solutions

Performance Engineering

• Tune OS-level settings for Linux and Windows across large-scale distributed systems
• Conduct deep dives on system failures and latency issues—identify, fix, and improve

Cluster & Scheduler Management

• Manage the entire HPC stack: compute nodes, job schedulers (SLURM, HTCondor), and interconnects
• Deploy and optimize parallel filesystems (Lustre, VAST, GPFS)

Scalable Storage Engineering

• Build and operate high-throughput, low-latency storage platforms
• Ensure smooth data delivery for compute-intensive and real-time workflows

Capacity Planning & Forecasting

• Analyze usage trends, model future resource needs, and design scalable systems

Troubleshooting at Scale

• Use system tools (sysctl, tcpdump, wireshark, strace, procmon) to identify and resolve root causes quickly

✅ What We’re Looking For

• Bachelor’s in Computer Science, Engineering, or similar technical field
• 5+ years of experience in HPC systems engineering on Linux (Windows experience a plus)
• Deep understanding of OS internals, I/O performance tuning, and system profiling
• Proven experience with parallel filesystems: Lustre, GPFS, VAST
• Proficient in resource schedulers like SLURM, HTCondor, or similar
• Strong scripting ability in Python and Bash
• Solid communicator and cross-functional collaborator

🎯 Why Join Us?

• High-impact role driving the backbone of our research and trading platforms
• Work with brilliant minds across infrastructure and quantitative research
• Build bleeding-edge systems that push the limits of speed, scale, and reliability