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Supercomputer Jobs in New York (NOW HIRING)

The team is responsible for developing high performance communication frameworks and applications running in production on the world's largest supercomputers and datacenters. The work environment is ...

Account Representative

New York, NY · On-site

$65K - $75K/yr

We work across a variety of industries including automotive, supercomputing, gaming, medical devices, oil and gas, and more. Additionally, we provide tailored supply chain solutions such as ...

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Supercomputer information

What are 5 jobs in computer science?

Five common jobs in computer science include software developer, systems analyst, network administrator, cybersecurity analyst, and data scientist. These roles often require programming skills, knowledge of algorithms, and familiarity with computer systems and networks. They are found in various industries such as technology, finance, healthcare, and government.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve significant responsibilities or ownership stakes.

Which 3 jobs will survive AI?

Supercomputing roles such as computational scientists, data analysts, and software engineers are likely to persist as they require complex problem-solving, specialized knowledge, and ongoing innovation. These jobs involve designing, maintaining, and utilizing high-performance systems that are difficult to fully automate. Skills in programming, data management, and domain expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive in the Supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What tech jobs pay 400,000 a year?

High-level roles such as senior software engineers, data scientists, and machine learning engineers can earn $400,000 or more annually, especially with experience, advanced skills, and in competitive industries. Executive positions like CTOs and technical directors also often reach or exceed this salary level, typically requiring extensive leadership experience and specialized expertise.

What are the typical responsibilities of a Supercomputer Engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a Supercomputer job?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

What are the most commonly searched types of Supercomputer jobs in New York? The most popular types of Supercomputer jobs in New York are:
What are popular job titles related to Supercomputer jobs in New York? For Supercomputer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Supercomputer jobs in New York look for? The top searched job categories for Supercomputer jobs in New York are:
Infographic showing various Supercomputer job openings in New York as of July 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Supercomputing Systems Engineer

StaffRight Associates, LLC

Manhattan, NY • On-site

Other

Re-posted 14 hours ago


Job description

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of High-Performance Computing (HPC) Systems Infrastructure and rigorous computational execution. Within this domain, where the integration of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization.

StaffRight Associates is seeking an elite professional to join the Systems Engineering team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging sharp technical acumen with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

As an HPC & Supercomputing Systems Engineer, you will serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Atomic-Level Molecular Dynamics Simulation and Computational Drug Discovery.

You will be tasked with the sophisticated management of Massively Parallel Compute Clusters, Petabyte-Scale Storage, and Proprietary Supercomputing Architectures, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Biomedical Research and Disease Treatment.

Core Technical Objectives
  • Orchestrate Systemic Workflows: Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the Systems Engineering department, managing Linux clusters ranging from thousands to tens of thousands of CPU cores and state-of-the-art GPU clusters.

  • Distill Complex Data: Conduct ad hoc technical and architectural research projects, translating multifaceted network, file system, and process infrastructure information into coherent frameworks that support strategic decision-making.

  • Optimize Operational Frameworks: Validate and process intricate documentation and technical requirements for high-performance RDMA fabrics, wide-area networks, and Kubernetes-powered agentic workflows with meticulous attention to detail and systemic accuracy.

  • Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent infrastructure projects, applying a proactive "Goal-Execution-Mapping" (GEM) approach to solve emergent bottlenecks and make massive computational resources available to machine learning researchers and autonomous agents securely.

  • Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical committee and internal/external stakeholders, maintaining the highest standards of professional integrity.

Candidate DNA
  • Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to navigate a hybrid, high-pressure environment with autonomous precision (following a hybrid schedule of three days in-office, two days remote).

  • Resourceful Problem-Solving: A proven track record of execution, demonstrating the ability to anticipate systemic bottlenecks within complex distributed systems before they impact the broader research workflow.

  • Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to seamlessly interact with elite scientific, machine learning, and business minds.

  • Cross-Functional Agility: An adaptive execution style capable of pivoting effortlessly between rigorous Linux systems administration, software development/scripting in Python, and advanced hardware infrastructure operations.

Academic & Research Pedigree
  • Educational Foundation: An advanced degree is preferred, ideally within a STEM discipline or a quantitative field directly relevant to Computational Biochemistry, Computer Science, or Computer Engineering.

  • Domain Expertise: Prior professional engagement within high-performance computing, large-installation systems administration, or advanced technology sectors is highly advantageous.

  • Quantitative Literacy: Comfort with the mathematical and operational rigor inherent in a firm focused on custom supercomputing architectures and high-speed, data-parallel processing.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical alignment and structural execution. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, and your approach to system resilience to the most sophisticated Unique STEM Challenges in the industry.

When you partner with us, you are engaging with an elite 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.