High-Performance Software Engineer — CUDA & AI for Defense

Leidos

San Diego (CA)

On-site

USD 87,100 - 157,450

Full time

14 days+
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Job summary

Leidos in San Diego seeks a Software Engineer / Computer Scientist to design, implement, and optimize algorithms for radar, optical, and infrared sensor systems. You will develop high‑performance backend software for scientific computing in Linux/Unix environments, working with a cross‑discipline team of scientists and engineers.

You’ll translate theory into practical code, applying MPI, parallel processing, and GPU acceleration.

Qualifications

  • Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related field with 6+ years of backend software development experience; or Master’s with 4+ years.

Responsibilities

  • Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms that power next‑generation radar, optical, and infrared sensor systems.
  • Engineer high‑performance backend systems for scientific computing and distributed environments.
  • Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency.
  • Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.
  • Test, document, and evolve complex software in a Linux/Unix environment.
  • Work in a collaborative environment that values technical rigor, creativity, and growth.

Skills

C/C++ backend
MPI
GPU/CUDA
HPC / parallel
Linux/Unix
AI/ML concepts

Education

Bachelor's degree in CS/Math/Physics
Master's degree

Tools

MATLAB
Fortran
Git
GitLab

Job description

Leidos in San Diego seeks a Software Engineer / Computer Scientist to design, implement, and optimize algorithms for radar, optical, and infrared sensor systems. You will develop high‑performance backend software for scientific computing in Linux/Unix environments, working with a cross‑discipline team of scientists and engineers.

You’ll translate theory into practical code, applying MPI, parallel processing, and GPU acceleration.

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