Senior Software Engineer I - Autonomy Software

Scientific Systems Company, Inc. — Burlington, CA — inconnu

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Published on 2 September 2026 · first appeared in our records on 2 September 2026.

Stable posting: first seen on 2 September 2026, with no abnormal reposting.

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Scientific Systems is looking to fill a Senior Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration. Essential Functions: • Architect and develop advanced software for multi-vehicle autonomy for complex, contested environments. • Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy. • Support presentation of technical results to internal and external customers. • Support integration of existing work into an unified software architecture. • This role may require occasional travel to remote test events. • Must be able to obtain and maintain a United States DOD Security Clearance. Basic Qualifications: • Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science • 4+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software. • Experience developing modular, maintainable, production-quality autonomy software. • Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages. • Experience with and/or understanding of modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD, Conan, SonarQube, automated test methodologies, etc.) • Desired: Familiarity with DoD or other common robotics and datalink architecture standards (e.g. OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, AFSIM, etc). • Desired: Familiarity with AI robotic navigation and decision algorithms – path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms Preferred Qualifications: • Familiarity with Linux-based development environments is highly desired. • Must be able to effectively communicate orally and possess technical writing skills. • Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams. • Must be able to work effectively as part of an integration-focused development team.