Autonomous Systems Software Engineer job opportunity at Leidos.

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Leidos Autonomous Systems Software Engineer
Experience: 12-years
Pattern: full-time
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loacation Lynnwood, WA, United States Of America
loacation Lynnwood, WA....United States Of America

Build software for UUVs that navigate in the dark, think independently, and must complete the mission. Failure is not an option. Leidos is looking for an Autonomous Systems Software Engineer to help build the brains behind next-generation uncrewed underwater vehicles and maritime autonomous systems. This is not a report-writing role. This is hands-on engineering for real platforms operating in unforgiving environments in support of critical national missions. You’ll design, write, and deploy production software that directly controls autonomous behavior, vehicle health, and mission execution. Your work will run on real hardware, in real water, on real missions. If you care more about results than rituals, shipping than slide decks, and owning outcomes over checking boxes, you’ll fit right in. This team values progress with discipline, fast iteration with bounded risk, and engineers who take responsibility end-to-end. We move quickly, learn continuously, and expect our software to work the first time it matters. Why This Role Is Different You’ll work on fielded systems, not demos. Your software will control vehicles, not dashboards. You’ll have real ownership, not just tickets. You’ll be expected to move fast, think clearly, and deliver. You’ll help define how autonomy software gets built, not just follow a script. If you want to work where engineering decisions matter, where progress is valued, and where the mission is real, this is the role. Primary Responsibilities Build mission-critical autonomy software using modern C++, Java, and Python on Linux-based systems that operate in constrained, contested environments. Translate high-level system intent into executable software , breaking down complex autonomy and vehicle requirements into clear, testable implementations. Architect and evolve scalable autonomy frameworks , emphasizing modularity, performance, and long-term adaptability across multiple vehicle platforms. Ship real features by developing, integrating, and testing new capabilities in existing codebases, with accurate estimates and ownership from design through deployment. Collaborate like an engineer, not a spectator , actively contributing to technical debates, design reviews, and trade studies that resolve real constraints. Mentor and raise the bar , supporting junior engineers and strengthening the team’s overall technical rigor and execution velocity. Own quality without paralysis , writing unit and integration tests that matter, analyzing failures, and fixing root causes instead of papering over symptoms. Work across disciplines with systems, hardware, and test engineers to ensure software behaves correctly as part of a larger, real-world system. Continuously improve how we build , refining tools, workflows, and processes in an Agile, iterative environment that values pragmatism over dogma. Basic Qualifications Education & Experience - Bachelor’s degree in Computer Science, Software Engineering, or related field with 8-12 years of experience, or a Master’s degree with 6-10 years of experience. Security Eligibility - A bility to obtain and maintain a U.S. Secret clearance . Serious C++ Skills - Demonstrated experience developing modern C++ software on Linux, with strong fundamentals in performance, memory management, and code quality. Engineering Judgment - Ability to design clean, maintainable systems and make sound tradeoffs under real constraints. Systems Awareness - Familiarity with MBSE concepts and tools (e.g., Cameo, MagicDraw) and how software fits into larger system architectures. Modern Dev Environments - Experience developing and deploying software in virtualized or containerized environments (VMware, Docker). Delivery Mindset - Experience working in Agile or iterative development environments with tools like Jira, Confluence, Bitbucket, or equivalents. Clear Communication - Ability to explain complex technical ideas to engineers, systems teams, and stakeholders without hiding behind jargon. Professional Integrity - Ownership, accountability, and respect for teammates and mission outcomes. Preferred Qualifications Polyglot Engineering - Experience across multiple languages (C#, Java, Python, Rust, etc.) and comfort adapting to new stacks quickly. Embedded or Low-Level Experience - Exposure to embedded systems, resource-constrained environments, or software that runs without a full OS. Autonomy & Robotics Background - Hands-on experience building autonomy, decision-making, or control software for robotic or vehicle systems. Real Testing Experience - Proven ability to build and maintain tests that catch real failures, not just satisfy process requirements. Legacy-to-Modern Skill - Experience diagnosing, refactoring, and improving large or aging codebases without breaking production systems. Domain Experience - Background in autonomous, remotely operated, or mission-critical platforms, especially maritime or undersea systems. Toolchain Familiarity - Experience with ROS, Protocol Buffers, SCons, VS Code, and cross-platform build systems is a strong plus. SUBSEAMSS 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: January 12, 2026 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 $107,900.00 - $195,050.00 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.

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