About Us: RNET Technologies is a cutting-edge computer science research company specializing in high-performance computing (HPC) and machine learning (ML) solutions. Our team of passionate scientists and engineers collaborates on groundbreaking projects that push the boundaries of tensor computation including numerical simulation and machine learning applications. If you’re excited about advancing the field of computational science, we’d love to hear from you!

Position Overview: We are seeking a talented and motivated Research Scientist to join our cutting-edge research initiatives. In this position you will work on challenging problems related to machine learning, numerical simulation, fluid dynamics, and HPC system implementations. This position offers a unique blend of scientific research, software development, and practical application, with opportunities for collaboration with leading universities and government labs. 

Responsibilities:

  • Conduct cutting-edge research in high-performance computing, numerical simulation, and machine learning.
  • Publish research findings in reputable conferences and journals.
  • Collaborate on proposal development for government funded research projects.
  • Develop novel algorithms and techniques for solving complex scientific and engineering problems.
  • Develop and optimize numerical simulations for fluid dynamics, structural analysis, and other scientific domains.
  • Collaborate with cross-functional teams to integrate ML models into HPC workflows.
  • Stay up-to-date with the latest advancements in HPC, scientific/numerical simulation, ML Frameworks (e.g., PyTorch, TensorFlow, JAX), and related technologies.
  • Contribute to a collaborative research environment including research partners (leading universities and government laboratories) and stakeholders.

Qualifications:

  • Ph.D. or M.S. in Computer Science, Applied Mathematics, or other engineering fields with a strong computational physics and/or Machine Learning.
  • Strong background in high-performance computing, parallel programming, and numerical methods.
  • Good understanding of computational linear algebra and applied mathematics.
  • Excellent problem-solving abilities.
  • Effective communication skills and the ability to work collaboratively in a team environment.

 

Preferred Qualifications:

  • Solid programming skills in Python, C++, Rust, CUDA, SYCL, OpenCL, and/or OpenMP.
  • Experience with distributed computing and cloud-based HPC platforms.
  • Contributions to open-source projects related to HPC and/or ML.
  • Experience with fluid dynamics simulations, finite element analysis, or computational physics.
  • Proficiency in at least one popular Machine Learning Frameworks.

Why Join RNET Technologies?

  • Work on impactful research projects with real-world applications.
  • Collaborate with leading experts in HPC and ML at both government laboratories and leading research universities.
  • Competitive compensation and benefits package.
  • Flexible work environment and opportunities for professional growth.
  • Make a difference in advancing computational science and technology.

If you’re passionate about pushing the boundaries of scientific computing and want to be part of an innovative team, apply now! Send your curriculum vitae and cover letter to This email address is being protected from spambots. You need JavaScript enabled to view it. or see the LinkedIn job posting. 

About Us:

RNET Technologies is a cutting-edge computer science research company specializing in high-performance computing (HPC) and machine learning (ML) solutions. Our team of passionate scientists and engineers collaborates on groundbreaking projects that push the boundaries of tensor computation including numerical simulation and machine learning applications. If you’re excited about advancing the field of computational science, we’d love to hear from you!

Position Overview:

We are seeking a talented and motivated Scientific Software Engineer to join our cutting-edge research initiatives. In this position you will work on challenging problems related to machine learning, numerical simulation, fluid dynamics, and HPC system implementations. This position offers a unique blend of scientific research, software development, and practical application, with opportunities for collaboration with leading universities and government labs. 

Responsibilities:

  • Conduct cutting-edge research in high-performance computing, numerical simulation, and machine learning.
  • Develop and implement novel algorithms and techniques for solving complex scientific and engineering problems.
  • Implement and optimize numerical simulations for fluid dynamics, structural analysis, and other scientific domains.
  • Collaborate with cross-functional teams to integrate ML models into HPC workflows.
  • Stay up-to-date with the latest advancements in HPC, scientific/numerical simulation, ML Frameworks (e.g., PyTorch, TensorFlow, JAX), and related technologies.
  • Publish research findings in reputable conferences and journals.
  • Contribute to a collaborative research environment including research partners (leading universities and government laboratories) and stakeholders.

Qualifications:

  • M.S. in Computer Science, Applied Mathematics, or other engineering fields with a strong computational physics and/or Machine Learning.
  • Strong background in high-performance computing, parallel programming, and numerical methods.
  • Solid programming skills in Python, C++, Rust, CUDA, SYCL, OpenCL, and/or OpenMP.
  • Excellent problem-solving abilities.
  • Effective communication skills and the ability to work collaboratively in a team environment.

 

Preferred Qualifications:

  • Ph.D. in Computer Science, Applied Mathematics, or other engineering fields with a strong computational physics and/or Machine Learning.
  • Good understanding of computational linear algebra and applied mathematics.
  • Experience with distributed computing and cloud-based HPC platforms.
  • Contributions to open-source projects related to HPC and/or ML.
  • Experience with fluid dynamics simulations, finite element analysis, or computational physics.
  • Proficiency in at least one popular Machine Learning Frameworks.

 

Why Join RNET Technologies?

  • Work on impactful research projects with real-world applications.
  • Collaborate with leading experts in HPC and ML at both government laboratories and leading research universities.
  • Competitive compensation and benefits package.
  • Flexible work environment and opportunities for professional growth.
  • Make a difference in advancing computational science and technology.

If you’re passionate about pushing the boundaries of scientific computing and want to be part of an innovative team, apply now! Send your curriculum vitae and cover letter to This email address is being protected from spambots. You need JavaScript enabled to view it. or see the LinkedIn job posting.