Research Systems Engineer – Agents, Clusters, Supercomputing
Quick Overview
Job Description
Practice Group: Systems Infrastructure & High-Performance Computing
About the Role:
Innovation in computational biochemistry, drug discovery, and machine learning requires more than advanced models—it demands world-class high-performance computing infrastructure, low-latency fabrics, and flawless execution.
StaffRight Associates has been retained to source elite technical talent for a premier New York–based computational biochemistry research firm. The organization develops and deploys cutting-edge computational technologies—including proprietary, special-purpose supercomputers—to model biological processes at an atomic level and design life-saving therapeutics.
We are seeking an exceptional Systems Engineer to join a collaborative, intellectually rigorous team responsible for architecting, managing, and scaling one of the world''s most sophisticated scientific computing environments.
Key Responsibilities:
HPC & Supercomputer Architecture: Design, maintain, and optimize massive Linux clusters (tens of thousands of CPU cores), state-of-the-art GPU clusters (hundreds of GPUs), and custom, massively parallel supercomputing systems.
Agentic Workflows & Orchestration: Engineer and scale Kubernetes-powered agentic workflows, making complex computational pipelines seamlessly accessible to machine learning and drug discovery researchers.
High-Speed Networking & Storage: Oversee high-performance RDMA fabrics, wide-area networks (WAN), and multi-petabyte storage environments built to handle ultra-high throughput data flows.
Systemic Optimization & Security: Identify technical bottlenecks, eliminate friction, and ensure robust security and convenience across high-concurrency environments.
Cross-Functional Collaboration: Serve as a core technical interface, partnering directly with quantitative scientists, software engineers, and machine learning researchers.
What You Bring:
Fundamental Mastery: Deep command of core Linux systems engineering concepts (file systems, networking, processes, kernel behavior) and practical systems administration at scale.
Relevant Technical Expertise: Experience in one or more of the following areas:
High-Performance Computing (HPC) & large-installation systems engineering
Kubernetes orchestration and containerized infrastructure
Scripting and software development in Python for distributed systems
High-performance data-parallel computing and low-latency RDMA networks
Adaptability & Drive: Strong track record of technical achievement paired with high intellectual curiosity. Specific depth in every tool is less critical than your ability to solve complex, multi-faceted engineering problems.
Academic Background: Degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, or a related STEM discipline. Candidates across all experience levels are encouraged to apply.
Communication: Clear, effective technical communication and a desire to work in a collaborative, positive environment.
Why Apply Through StaffRight Associates?
At StaffRight Associates, we specialize in placing elite engineering talent into industry-defining roles. Partnering with us provides:
Direct Access: We work to get your resume directly in front of hiring decision-makers, bypassing automated ATS filters.
Transparent Guidance: Full transparency into the interview pipeline, technical expectations, and organizational culture.
Confidential Representation: Your background and candidacy are handled with complete discretion at every stage of the process.
Skills
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