Research Systems Engineer – Agents, Clusters, Supercomputing
Quick Overview
Job Description
***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.
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 worlds 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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