C++ Scientific Software Engineer – HPC & ML

Stellar Science Ltd

Dayton (OH)

On-site

USD 100,000 - 130,000

Full time

5 days ago
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Job summary

Stellar Science Ltd seeks a software engineer who will collaborate with scientists and software engineers to design and implement scalable software solutions. The role focuses on building and maintaining high-quality, extensible code using modern C++ practices across domains like computer vision, atmospheric modeling, HPC, and machine learning.

The candidate will contribute to cross-disciplinary projects, learn new paradigms, and operate at government and customer sites in Dayton, OH. U.S.

Qualifications

  • B.S. or advanced degree in computer science, math, science, or an engineering field.
  • Strong experience with object-oriented development and C++ programming. An enthusiasm for or interest in adopting modern C++23 practices is highly valued.
  • A track record of learning new paradigms and a desire to build clean, high-quality code.
  • U.S. citizenship and a willingness to undergo a background investigation. Ability to perform some work at government and/or customer sites in Dayton, OH. An active security clearance is a plus, but not required to apply.

Responsibilities

  • Collaborate with software and domain experts to design and implement software that solves complex, real-world problems.
  • Build and maintain software across cutting-edge domains including computer vision, HPC, space domain awareness, and ML using modern C++ practices.

Skills

C++ programming
Object-oriented development
Modern C++23 practices
Learning new paradigms

Education

B.S. or advanced degree in computer science or engineering

Tools

Qt
OpenGL
MPI/OpenMP

Job description

Stellar Science Ltd seeks a software engineer who will collaborate with scientists and software engineers to design and implement scalable software solutions. The role focuses on building and maintaining high-quality, extensible code using modern C++ practices across domains like computer vision, atmospheric modeling, HPC, and machine learning.

The candidate will contribute to cross-disciplinary projects, learn new paradigms, and operate at government and customer sites in Dayton, OH. U.S.

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