The Squires Group
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Overview
We are seeking two experienced Applications Programmers to support a major federal High Performance Computing (HPC) initiative as part of a competitive Overview
We are seeking two experienced Applications Programmers to support a major federal High Performance Computing (HPC) initiative as part of a competitive
proposal
effort. The work supports the next-generation Weather and Climate Operational Supercomputing System (WCOSS III) for the National Oceanic and Atmospheric Administration (NOAA).
This is an exciting opportunity to join a high-profile, multi-year program supporting two Cray supercomputers capable of a combined 29 petaflops ranked among the fastest systems in the world. While the positions are remote, occasional travel to NOAA data centers may be required.
NOTE
: This is a proposal position. Hiring is contingent upon contract award, anticipated in early 2026. Selected candidates may be contacted for letters of intent or to be included in the proposal submission package.
Responsibilities
Design, develop, test, debug, and document software applications for HPC environments. Modify and optimize procedures to solve complex scientific computing challenges, accounting for system capacity, operational time, and output requirements. Collaborate with researchers, system engineers, and stakeholders to ensure application performance and reliability. Support the implementation and tuning of codebases across large-scale, parallel computing systems. Troubleshoot and enhance HPC application performance using MPI, OpenMP, and related technologies. Maintain technical documentation and follow secure coding practices. Ensure code compatibility and performance across HPC platforms such as Cray and HPE.
Qualifications
Demonstrated experience programming in High Performance Computing environments. Proficiency in Fortran, C/C++, Python, and scripting languages like Bash or Perl. Experience with parallel processing frameworks (e.g., MPI, OpenMP). Background working on scientific computing applications, ideally related to weather, climate, or ocean modeling. Familiarity with Linux-based systems, batch schedulers (e.g., Slurm, PBS), and software version control (e.g., Git). Prior experience with NOAA WCOSS I/II, GDIT, Redline Performance, or NOAA sub-agencies (NWS, NMFS, NOS) is a strong plus. Bachelors degree in Computer Science, Engineering, or a related discipline (advanced degrees a plus).
4 Reasons To Join The Squires Group, Inc.
Our Commitment to You - We offer competitive pay, multi-year projects, and a list of exciting clients. Work-Life Balance - We work hard; we work smart and have quality time for family and "life." Golden Rule - We treat our consultants the way we want to be treated: with integrity, professionalism, and trust. We Care About You We help you meet your career goals and continuously support your efforts in the field.
Check out our Referral Program!
The Squires Group will pay you for every qualified professional that you refer and we place. If you see a position posted by The Squires Group and know the perfect person for the job, please send us your referral. For more information, go to https://bit.ly/squiresreferral .
The Squires Group, Inc. is an Equal Opportunity/Affirmative Action Employer.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at The Squires Group, Inc. by 2x Get notified about new Application Developer jobs in
Manassas, VA . Reston, VA $175,000.00-$250,000.00 9 months ago Arlington, VA $130,000.00-$180,000.00 2 weeks ago McLean, VA $96,027.00-$151,352.00 1 month ago Reston, VA $112,450.00-$203,275.00 1 week ago Fairfax, VA $135,000.00-$160,000.00 3 weeks ago Full Stack Software Developer - Early Career
Sterling, VA $79,400.00-$162,700.00 3 months ago Arlington, VA $150,000.00-$200,000.00 3 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
We are seeking two experienced Applications Programmers to support a major federal High Performance Computing (HPC) initiative as part of a competitive Overview
We are seeking two experienced Applications Programmers to support a major federal High Performance Computing (HPC) initiative as part of a competitive
proposal
effort. The work supports the next-generation Weather and Climate Operational Supercomputing System (WCOSS III) for the National Oceanic and Atmospheric Administration (NOAA).
This is an exciting opportunity to join a high-profile, multi-year program supporting two Cray supercomputers capable of a combined 29 petaflops ranked among the fastest systems in the world. While the positions are remote, occasional travel to NOAA data centers may be required.
NOTE
: This is a proposal position. Hiring is contingent upon contract award, anticipated in early 2026. Selected candidates may be contacted for letters of intent or to be included in the proposal submission package.
Responsibilities
Design, develop, test, debug, and document software applications for HPC environments. Modify and optimize procedures to solve complex scientific computing challenges, accounting for system capacity, operational time, and output requirements. Collaborate with researchers, system engineers, and stakeholders to ensure application performance and reliability. Support the implementation and tuning of codebases across large-scale, parallel computing systems. Troubleshoot and enhance HPC application performance using MPI, OpenMP, and related technologies. Maintain technical documentation and follow secure coding practices. Ensure code compatibility and performance across HPC platforms such as Cray and HPE.
Qualifications
Demonstrated experience programming in High Performance Computing environments. Proficiency in Fortran, C/C++, Python, and scripting languages like Bash or Perl. Experience with parallel processing frameworks (e.g., MPI, OpenMP). Background working on scientific computing applications, ideally related to weather, climate, or ocean modeling. Familiarity with Linux-based systems, batch schedulers (e.g., Slurm, PBS), and software version control (e.g., Git). Prior experience with NOAA WCOSS I/II, GDIT, Redline Performance, or NOAA sub-agencies (NWS, NMFS, NOS) is a strong plus. Bachelors degree in Computer Science, Engineering, or a related discipline (advanced degrees a plus).
4 Reasons To Join The Squires Group, Inc.
Our Commitment to You - We offer competitive pay, multi-year projects, and a list of exciting clients. Work-Life Balance - We work hard; we work smart and have quality time for family and "life." Golden Rule - We treat our consultants the way we want to be treated: with integrity, professionalism, and trust. We Care About You We help you meet your career goals and continuously support your efforts in the field.
Check out our Referral Program!
The Squires Group will pay you for every qualified professional that you refer and we place. If you see a position posted by The Squires Group and know the perfect person for the job, please send us your referral. For more information, go to https://bit.ly/squiresreferral .
The Squires Group, Inc. is an Equal Opportunity/Affirmative Action Employer.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at The Squires Group, Inc. by 2x Get notified about new Application Developer jobs in
Manassas, VA . Reston, VA $175,000.00-$250,000.00 9 months ago Arlington, VA $130,000.00-$180,000.00 2 weeks ago McLean, VA $96,027.00-$151,352.00 1 month ago Reston, VA $112,450.00-$203,275.00 1 week ago Fairfax, VA $135,000.00-$160,000.00 3 weeks ago Full Stack Software Developer - Early Career
Sterling, VA $79,400.00-$162,700.00 3 months ago Arlington, VA $150,000.00-$200,000.00 3 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr