The Role
Develop, integrate, and test autonomy software using Agile practices, CI/CD/DevSecOps, and advanced modeling/simulation. Support migrations to digital engineering environments, lead autonomy integration efforts, produce documentation, participate in code reviews and customer interactions, and maintain alignment with DoD autonomy standards. Must obtain and maintain US DoD security clearance.
Summary Generated by Built In
Our Autonomy Software Engineer will be part of the company’s core AI-enabled Autonomy Software development team. Primary responsibilities include day-to-day, agile software engineering for initial development, DevSecOps and CI/CD integration, and ongoing software test and evaluation using advanced modeling and simulation platforms. Additional responsibilities include providing autonomy software integration and test support to multiple autonomy programs aligned with specific customer autonomy objectives.
Essential Functions:
- Support migrations of Scientific Systems software applications to the SSCI Digital Engineering Environment, as directed, in support of current and future USG and DoD software acquisition requirements.
- Write and review software documentation.
- Support development sprints and code reviews.
- Develop software to achieve program milestones as directed, in accordance with modern software engineering Agile Software Development methodologies.
- Support Prime and customer-facing interactions.
- Stay current with industry trends, emerging technologies, and best practices in software engineering and other areas relevant to SSCI (Navigation, Mission Planning, Autonomy, etc.).
- This role may require the ability to sit or stand at a desk and work on a computer for prolonged periods of time.
- Must be able to obtain and maintain a US DOD Security Clearance.
Requirements
Basic Qualifications:
- Bachelors’ of Science degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, or Data Science, or equivalent experience and 3+ years progressive software engineering experience in a related industry and relevant experience with software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software
- Experience working as part of an autonomy integration team, including leading autonomy software to achieve operationally relevant software capabilities.
- Experience using modern software development tool chains and processes including build, test, and documentation methodologies as well as experience performing configuration (user accounts, project settings) for tools such as git/Gitlab/Github, Confluence/Jira, CI/CD, build automation tools, automated test methodologies, Model-Based System Engineering tools and techniques, etc.
- Experience using C/C++, Python, and/or project-specific required languages (e.g. Java, Rust, etc.).
- Experience designing object-oriented class structures with well-designed API within the languages of interest.
- Experience with DoD or other common robotics and datalink architecture standards. (especially OMS, ROS, and AFSIM, as well as FACE, DDS, STANAG 4586, J-Series, etc)
- Experience designing software architecture for complex software systems and integrate with DoD-standard architectures and interfaces.
- Experience identifying and clarifying customer technical requirements and aligning technical efforts with requirements.
Preferred Qualifications:
- Master’s of Science degree or PhD
- Excellent organizational skills and attention to detail
- Significant experience in AI/Autonomy/Robotics advanced technologies and software as demonstrated in successfully field-tested unmanned systems
- Experience in Linux-based development environments
- Excellent oral and written communication skills including technical writing skills used to write clear documentation for developed code.
- Ability to identify and creatively solve complex problems.
- Ability to execute logical reasoning and decision-making skills.
- Excellent organizational skills and attention to detail.
Benefits
- Salary: $108,000 - $131,000 (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
- Summer 9/80 work schedule
Skills Required
- Bachelor's degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, Data Science, or equivalent experience
- 3+ years progressive software engineering experience with software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization, or Autonomous Uncrewed Systems Software
- Experience working on autonomy integration teams and leading autonomy software to operational capabilities
- Experience with modern software development toolchains and processes (git/GitLab/GitHub, Confluence/Jira, CI/CD, build automation, automated test methodologies)
- Experience with Model-Based Systems Engineering tools and techniques
- Proficiency in C/C++ and/or Python and familiarity with project-specific languages (e.g., Java, Rust)
- Experience designing object-oriented class structures and well-designed APIs
- Experience with DoD and robotics/datalink architecture standards (OMS, ROS, AFSIM, FACE, DDS, STANAG 4586, J-Series)
- Experience designing software architecture for complex systems and integrating with DoD-standard architectures and interfaces
- Ability to identify and clarify customer technical requirements and align technical efforts with those requirements
- Must be able to obtain and maintain a US DOD Security Clearance
- Master's degree or PhD
- Significant experience in AI/Autonomy/Robotics technologies and field-tested unmanned systems
- Experience in Linux-based development environments
- Excellent oral and written communication and technical writing skills
- Strong organizational skills, attention to detail, and problem-solving ability
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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.
