Software Engineer

Description 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 Scientistwho 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 algorithmsthat power next-generation radar, optical, and infrared sensor systems. • Engineer high-performance backend systemsfor scientific computing and distributed environments. • Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency. • Translate and enhance existing code for GPU/CUDA accelerationand 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 degreein Computer Science, Applied Mathematics, Physics, or related field with6+ yearsof backend software development experience; orMaster’s with 4+ years. Equivalent experience may be considered in lieu of degree. • U.S. citizenshipand 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 programmingand 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/Unixdevelopment environments. • Familiarity withscientific programming, algorithm implementation, and system-level problem-solving. • Strong understanding ofsoftware engineering principlesand best practices. • Excellentwritten and verbal communicationandsoftware documentationskills. Preferred Qualifications • Active Top Secret clearance • Familiarity withAgile development,object-oriented design, and modern software architecture. • Experience withGit,GitLab,MATLAB, andFortran. • Knowledge ofmulti-threadedorshared-memory applications. Why Leidos? You’ll be part of a team that: • Combinesscience, technology, and imaginationto solve real-world defense challenges. • Values yourcuriosityas much as your technical ability. • Invests in yourprofessional growththrough mentorship and hands-on innovation. At Leidos, your code doesn’t just run—itdefends, detects, and delivers. At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.Original Posting:October 21, 2025 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:Pay Range $85,150.00 - $153,925.00 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.