Software Gigs

This Embedded Software Engineer role at Leidos involves designing and developing high-performance embedded software for custom System-on-Chip (SoC) hardware in electronic warfare applications. You will write low-level C/C++ code for multi-core systems (DSP, ARM, RISC-V), perform hardware-software co-design and validation, and build software development kits for end users. The position requires 4+ years of embedded systems experience, deep understanding of hardware architectures, and proficiency in reading datasheets, test-driven development, and real-time operating systems.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams. Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

Lead Systems Engineer to support government sponsors in architecting, analyzing, and integrating complex mission and enterprise systems. The role focuses on applying Model-Based Systems Engineering (MBSE), executable MBSE, architecture analysis, and digital engineering methods to develop system architectures and inform acquisition decisions. Responsibilities include modeling complex systems using standards-based frameworks (UAF, SysML, UML), developing executable models for verification and validation, designing prototypes and dashboards in Java and Python, applying industry standards (MOSA, OMS, UCI, FACE), and advising government sponsors on architecture strategies and digital transformation. The position requires 8+ years of systems/aerospace engineering experience (or equivalent with advanced degrees) and includes mentoring junior engineers.

The Algorithm Software Engineer will design, develop, and deploy signal processing applications on custom Leidos SoCs, porting algorithms from MATLAB/Python/C++ to optimized C code for real-time, massively parallelized execution. Responsibilities include hardware-software co-design, DSP optimization leveraging SIMD/VLIW/accelerators, Hardware-in-the-loop testing, and collaboration across signal processing, embedded, RF, and systems engineering teams. The role requires 8+ years of C/C++ embedded systems development, strong signal processing fundamentals, and experience translating research algorithms into production real-time systems.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization. Create digital lab infrastructure including IoT integrations, digital lab twins, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman. Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

Test Engineer II will design, set up, and execute fluidic and electrochemistry experiments in a hands-on laboratory setting, owning test plans from definition through data analysis. Responsibilities include programming and configuring automated test instrumentation, assembling and characterizing prototype consumables and fluidic sub-assemblies, and performing root cause investigations and design-of-experiments (DOE) to resolve hardware and process issues. The role requires 2–4 years of hands-on R&D laboratory experience with fluidic-based systems, experimental design, and troubleshooting. Programming experience (MATLAB, LabVIEW, C++, Python) and familiarity with metrology, microfluidics, or molecular diagnostics platforms are preferred.