HPC Software Engineer: Scalable, GPU-Accelerated Computing

Cymertek Corporation

Maryland

On-site

USD 120,000 - 160,000

Full time

12 days ago

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Benefits offered by this job

Excellent Salaries
Flexible Work Schedule
401k Matching
Paid Leave/Holidays

Job summary

Cymertek Corporation in Annapolis Junction, MD, seeks an HPC Software Engineer to design, implement and optimize software for high-performance computing environments. You will work on parallel algorithms, optimize scalability, and collaborate with multidisciplinary teams to deliver performant solutions.

The ideal candidate has strong experience with MPI/OpenMP, HPC architectures, profiling tools and GPU acceleration, and holds a Bachelor’s degree in a related field.

Qualifications

  • Bachelor's degree in a related field.
  • Strong experience with parallel programming and HPC systems.
  • Experience with performance profiling and tuning tools.
  • Familiarity with distributed computing frameworks.
  • Knowledge of scientific computing libraries and tools.
  • Ability to optimize code for GPUs and accelerators.

Responsibilities

  • Design and develop software for high-performance computing systems
  • Optimize applications for scalability and efficiency on HPC architectures
  • Implement parallel algorithms for computational workloads
  • Troubleshoot and resolve performance issues in HPC environments
  • Collaborate with multidisciplinary teams on computational projects
  • Ensure software compatibility with diverse HPC hardware architectures

Skills

MPI / OpenMP
HPC architectures
Performance profiling
Distributed computing frameworks
Scientific computing libraries
GPU acceleration

Education

Bachelor's Degree

Tools

Slurm

Job description

Cymertek Corporation in Annapolis Junction, MD, seeks an HPC Software Engineer to design, implement and optimize software for high-performance computing environments. You will work on parallel algorithms, optimize scalability, and collaborate with multidisciplinary teams to deliver performant solutions.

The ideal candidate has strong experience with MPI/OpenMP, HPC architectures, profiling tools and GPU acceleration, and holds a Bachelor’s degree in a related field.

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