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Scientific Computing Software Developer Jobs (NOW HIRING)

Cymertek

HPC Software Engineer

Annapolis, MD

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Tysons, VA · On-site

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Reston, VA

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Chantilly, VA

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Reston, VA

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Chantilly, VA

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

Cymertek

HPC Software Engineer

Tysons, VA

... Developer, Cluster Computing Engineer, Scientific Programmer, Computational Software Developer, Performance Tuning Specialist, GPU Computing Engineer, Numerical Computing Engineer, HPC Architect ...

The Pennsylvania State University

$201.80K/yr

... data science, artificial intelligence, simulation, knowledge communication and virtual ... None If filled as Research Computing Software Engineer - Advanced Professional, this position ...

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How much do scientific computing software developer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for scientific computing software developer in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scientific Computing Software Developer, and why are they important?

To thrive as a Scientific Computing Software Developer, you need strong programming skills in languages like Python, C++, or Fortran, along with a background in mathematics, physics, or engineering. Familiarity with scientific libraries (e.g., NumPy, SciPy), high-performance computing systems, and version control tools such as Git is typically required. Analytical thinking, problem-solving, and effective collaboration are crucial soft skills that set exceptional developers apart. These competencies are essential for developing reliable, efficient software that supports complex scientific research and multidisciplinary teamwork.

What are some common challenges faced by Scientific Computing Software Developers when integrating code with research teams?

Scientific Computing Software Developers often collaborate closely with research teams, and a common challenge is translating complex scientific requirements into efficient, maintainable code. Researchers may use diverse programming languages and have different coding standards, which can lead to integration issues. Additionally, balancing the need for high computational performance with code readability and reproducibility is crucial. Effective communication and a strong understanding of both scientific concepts and software engineering practices help overcome these challenges.

What is a Scientific Computing Software Developer?

A Scientific Computing Software Developer is a professional who designs, develops, and maintains software applications used for scientific research and data analysis. They work closely with scientists, engineers, and researchers to create tools that enable complex simulations, modeling, and data processing in fields such as physics, biology, chemistry, and engineering. These developers often use programming languages like Python, C++, or Fortran, and may optimize code for high-performance computing environments. Their work is essential for advancing scientific discovery and innovation.

What is the difference between Scientific Computing Software Developer vs Data Scientist?

AspectScientific Computing Software DeveloperData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Applied Math, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academia, scientific organizations, tech companiesBusiness, finance, healthcare, tech firms, research institutions
Employer & Industry UsageFocus on developing simulation, modeling, and computational toolsFocus on analyzing data, building predictive models, and deriving insights

While both roles require strong programming skills and a background in science or math, Scientific Computing Software Developers primarily create computational tools for scientific research, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in skills but differ in application focus and industry context.

Software Developer | Scientific Computing Engineer

StaffRight Associates, LLC

Manhattan, NY

Other

Posted 24 days ago

Job description

Preface

This engagement focuses on the critical intersection of Computational Drug Discovery and Foundational Machine Learning, requiring a practitioner who operates at the nexus of molecular modeling and high-performance software engineering. StaffRight Associates is seeking an individual with an elite academic pedigree possessing a Ph.D. or Master’s in Computer Science, Computational Chemistry, or a related quantitative field.who maintains a first-principles mastery of algorithmic efficiency.

The successful candidate will bridge the gap between theoretical biophysics and scalable production systems, translating complex cheminformatic requirements into robust, automated architectures that accelerate the drug discovery lifecycle.

The Mission

As a key contributor within a high-stakes scientific ecosystem, you will engineer the foundational infrastructure that powers advanced molecular simulations and generative AI initiatives. Your mission is to decouple technical friction from scientific inquiry, building resilient, high-throughput software environments that enable researchers to interrogate chemical space at unprecedented scales. This role demands a systematic approach to technical synthesis, ensuring that every integration, pipeline, and automated workflow drives meaningful progress in therapeutic innovation.

Core Technical Objectives

  • Orchestrate and sustain sophisticated software ecosystems, ensuring the continuous availability and resilience of tools critical to drug discovery and neural network modeling.

  • Engineer bespoke cheminformatic workflows and data analysis sequences that automate the ingestion and interpretation of complex molecular datasets.

  • Formalize and deploy scientific data pipelines, establishing seamless integrations with external high-performance computing (HPC) services and third-party data providers.

  • Synthesize comprehensive technical documentation to codify system architecture, ensuring long-term maintainability and knowledge transfer within the research group.

  • Optimize the end-user computational environment by identifying and mitigating performance bottlenecks in the scientific software stack.

Candidate DNA

  • Algorithmic Proficiency: Advanced command of Python for the automation of intricate scientific workflows, with a strong preference for candidates capable of low-level optimization in C++.

  • Architectural Philosophy: A deep-seated commitment to improving computing environments through a Systems-First mindset, particularly concerning generative and agentic AI frameworks.

  • Infrastructure Mastery: Extensive experience navigating and managing Linux/UNIX environments, including the deployment and troubleshooting of specialized scientific software suites.

  • Functional Expertise: Proven ability to manage and manipulate vast chemical databases, ensuring data integrity across computational drug discovery platforms.

Academic & Research Pedigree

  • Educational Foundation: An advanced degree (Ph.D. or Master’s) in a STEM discipline with a heavy emphasis on computational methods, structural biology, or machine learning.

  • Mathematical Rigor: Demonstrated ability to apply mathematical logic and statistical rigor to the development of software solutions.

  • Research Impact: A track record of academic or professional excellence in refining the tools of discovery, specifically where code intersects with physical or biological systems.

Partnering with StaffRight Associates

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.

Apply