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The Role
Develop and test production-quality autonomy software for embedded, multi-vehicle autonomous flight systems and crewed-uncrewed collaboration. Responsibilities include architecting software for complex environments, integrating existing systems into unified architectures, applying AI/ML and robotic planning techniques, and presenting technical results. The role requires collaboration across autonomy, vehicle systems, and systems engineering teams, occasional travel to remote test events, and the ability to obtain and maintain a U.S. DoD security clearance.
Summary Generated by Built In
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.
Requirements
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.
Benefits
- Salary: $128,000 - $154,000 (Depends on Experience)
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Hybrid Work Schedule
- Free Food & Snacks
- Wellness Resources
- Employee Stock Ownership Plan
Skills Required
- Bachelor's degree or higher in Mathematics, Statistics, Engineering, Physical Science, Computer Science, Operations Research, or Data Science
- 4+ years of experience in software development or R&D involving AI for robotics, machine learning, robot planning or optimization techniques, and/or autonomous uncrewed systems software
- Experience developing modular, maintainable, production-quality autonomy software
- Experience developing with C/C++ and Python
- Ability to obtain and maintain a United States DoD security clearance
- Experience with modern software development toolchains and processes, including Agile, Git-based workflows, CI/CD, automated testing, and related tools
- Familiarity with DoD or common robotics and datalink architecture standards, such as OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, or AFSIM
- Familiarity with AI robotic navigation and decision algorithms, including path planning, schedule optimization, and distributed coordination algorithms
- Familiarity with Linux-based development environments
- Strong oral communication, technical writing, collaboration, and integration-focused development skills
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The Company
What We Do
Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.
