Parallel Programming Jobs in New York (NOW HIRING)

This search targets elite practitioners in Computational Biochemistry and Distributed Systems Architecture who possess the first-principles mastery required to bridge the gap between theoretical molecular dynamics and large-scale infrastructure execution. The complexity of simulating atomic-level interactions demands an individual with an advanced academic pedigree (Ph.D. or Master’s in Computer Science, Engineering, or a related quantitative field) capable of engineering the foundational fabrics that power discovery. Success in this role requires more than administrative proficiency; it necessitates a deep technical synthesis of high-performance computing (HPC) and agentic workflows to ensure that massive-scale GPU clusters and custom supercomputing hardware are seamlessly translated into actionable research environments.

StaffRight Associates is recruiting to identify a Systems Engineer capable of orchestrating one of the world''''s most sophisticated computational research environments. The mission involves the architectural stewardship of massively parallel supercomputers and high-density GPU clusters designed for drug discovery.

You will be responsible for the systemic resilience and optimization of a multi-petabyte, multi-thousand-core infrastructure, ensuring that the intersection of hardware and software enables researchers to decode biologically significant molecules with unprecedented precision.

• Orchestrate Kubernetes-powered agentic workflows to automate and scale complex research pipelines across distributed environments.

• Engineer and maintain state-of-the-art GPU clusters, managing high-density configurations of hundreds of units for machine learning and simulation workloads.

• Optimize high-performance RDMA fabrics and wide-area networks to ensure low-latency, high-throughput data transfer across specialized research segments.

• Formalize the administration of massive Linux clusters, managing tens of thousands of CPU cores and ensuring the integrity of tens of petabytes of storage.

• Synthesize custom supercomputing assets with commodity hardware, providing a secure, convenient, and high-performance interface for AI and drug discovery agents.

• Validate system performance through rigorous scripting and programming of distributed systems, utilizing Python to enhance automation and reliability.

• Architectural Philosophy: A commitment to first-principles thinking regarding Linux internals, including deep-tier knowledge of file systems, networking protocols, and process management.

• Technical Versatility: A track record of solving multi-dimensional problems in HPC systems engineering, software development, or large-installation systems administration.

• Intellectual Curiosity: A relentless drive to explore the "how" and "why" of system behavior, coupled with the agility to pivot between high-level architectural design and granular troubleshooting.

• Collaborative Literacy: Excellent communication skills with the ability to articulate complex technical constraints to multidisciplinary teams of scientists and researchers.

• Foundational Excellence: An advanced degree (Ph.D. or Master''''s) in Computer Science, Systems Engineering, or a related STEM discipline.

• HPC Domain Expertise: Proven experience in high-performance data-parallel computing or the management of massively parallel systems.

• Mathematical Rigor: A background that supports the understanding of computational modeling and the technical demands of atomic-level simulations.

At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, your approach to system resilience, and your "Goal-Execution-Mapping", to the most sophisticated STEM challenges in the industry.

When you partner with us, you are engaging with a team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.