Software Engineer

Unleash your curiosity. Solve what others can’t.
AtLeidos, we’re not just writing code—we’re decoding the unknown. Our San Diego research and engineering team tackles some of the most complex challenges in national defense usingadvanced signal processing, ocean remote sensing, and high-performance computing.

We’re looking for aSoftware Engineer / Computer Scientist who thrives on solving hard problems and pushing the boundaries of performance. You’ll join a cross-disciplinary team of scientists and engineers—experts inhydrodynamics, physics, acoustics, and signal processing—to build high-impact software that extracts meaning from massive, complex data sets.

If you’re driven by innovation, energized by collaboration, and ready to see your algorithms power real-world missions—you belong here.

What You’ll Do

• Collaborate with scientists and engineers todesign, 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 valuestechnical rigor, creativity, and growth.

Required Qualifications

• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related field with6+ years of backend software development experience; orMaster’s with 4+ years. Equivalent experience may be considered in lieu of degree.

• U.S. citizenship and ability to obtain aTop Secret clearance (active TS preferred).

• Demonstrated expertise inC/C++ backend software development, including large-scale, performance-critical applications.

• Proven experience withhigh-performance computing,parallel/distributed processing, and standards such asMPI.

• Hands-on experience withGPU/CUDA programming and optimization.

• Experience with AI/ML and LLM concepts and algorithms

• Strong foundation inadvanced mathematics or physics, with the ability to translate theory into functional code.

• Proficiency inLinux/Unix development environments.

• Familiarity withscientific programming, algorithm implementation, and system-level problem-solving.

• Strong understanding ofsoftware engineering principles and best practices.

• Excellentwritten and verbal communication andsoftware documentation skills.

Preferred Qualifications

• Active Top Secret clearance

• Familiarity withAgile development,object-oriented design, and modern software architecture.

• Experience withGit,GitLab,MATLAB, andFortran.

• Knowledge ofmulti-threaded orshared-memory applications.

Why Leidos?

You’ll be part of a team that:

• Combinesscience, technology, and imagination to solve real-world defense challenges.

• Values yourcuriosity as much as your technical ability.

• Invests in yourprofessional growth through mentorship and hands-on innovation.

At Leidos, your code doesn’t just run—itdefends, detects, and delivers.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.