HPC Software Engineer III - UPDATED

National Radio Astronomy Observatory
Socorro, NM, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Algorithm Design Data Analysis Application Performance Management Systems Engineering Big Data C++ (Programming Language) Profiling Distributed Computing Environment Memory Management Integrated Development Environments Python (Programming Language)
+16 more
Multiprocessing Open Source Technology Scientific Computating Signal Processing Software Engineering Workflow Management Systems Data Processing Data Ingestion Parallel Computation Build Management Containerization Linux Development Information Technology C++14 Software Version Control Data Pipelines

Job description

  • Develop high-performance scientific software in C++ and Python, including numerical algorithms, data-analysis pipelines, and simulation components.
  • Implement scalable solutions leveraging modern parallel programming.
  • Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores.
  • Design modular, maintainable, and testable codebases following established software engineering best practices.

Performance Engineering and Optimization

  • Profile, benchmark, and optimize HPC applications for multi-core and distributed-memory systems.
  • Improve algorithmic efficiency, memory usage, I/O patterns, and data-movement behavior to achieve target throughput and scalability.
  • Work with HPC system engineers to tune application performance for specific architectures.

Scientific Workflow and Data Pipeline Development

  • Create robust, automated workflows for large-scale simulations, experiments, or data-processing tasks.
  • Integrate software with HPC schedulers, containerization technologies, and workflow engines.
  • Implement data ingestion, transformation, and storage strategies for multi-terabyte to petabyte-scale datasets.

Requirements

The role requires demonstrated proficiency in Python and C++, experience with parallel and distributed computing frameworks, and the ability to collaborate closely with domain scientists, systems engineers, and HPC support personnel. The successful candidate will contribute to the full software lifecycle from requirements analysis and algorithmic design through implementation, testing, optimization, and long-term maintainability within a performance-critical, research-driven environment., The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. May occasionally work at high altitudes. Must be able to communicate effectively both verbally and in writing., * You have a bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field

  • While not required, you may have an advanced degree in a related field (Ph.D. preferred for research-intensive domains).
  • You have at least three or more years of experience .

Competency Summary

  • Strong proficiency in Python and modern C++.
  • Experience with parallel programming paradigms and performance-profiling tools.
  • Familiarity with Linux development environments, version control, software build systems, and automated testing frameworks.
  • Ability to communicate effectively with both technical and scientific stakeholders
  • Prior contributions to open-source scientific computing libraries encouraged preferred.
  • Demonstrated experience developing scientific or numerical software for HPC systems.
  • Experience with workflow orchestration frameworks and HPC schedulers.
  • Background in numerical methods, computational physics, signal processing, or other scientific domains relevant to the organization.
  • Experience with large-scale data management strategies and parallel I/O libraries.
  • Familiarity with container technologies and reproducible science practices.
  • Experience with software engineering principles, working within an Agile framework, and experience in the complete product lifecycle are preferred.

Benefits & conditions

Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees’ overall well-being and career growth., AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance.

For open rank positions, the starting salary/hourly rates for each level is between:

  • Position level 3 $79,000 and $120,000

Benefits

AUI’s benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI’s retirement benefit contributes an amount equal to 10 percent of a qualified participant’s base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions.

About the company

The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. NRAO operates a portfolio of world-class research facilities and as part of its long-term strategic roadmap, is expanding the large-scale computing infrastructure needed to support increasingly data-intensive science. This includes building modern, scalable data-processing systems in partnership with leading high-performance computing (HPC) centers.

This effort involves designing and prototyping technical infrastructure and data-processing software that is significantly larger in scale and more complex than any existing NRAO systems, developed in close collaboration with a leading national HPC center.

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