Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces. The Autonomy/AI ML Software Engineer is responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for the motion planning and control of autonomous vehicles. Translates requirements and develops code, determining appropriate software methods to perform specific functions. Supports the technology development life cycle from requirements generation through development, integration, scenario development and modeling, testing, and debugging. Key Responsibilities • Develops, integrates, and implements algorithms to enable mission planning and motion control of autonomous vehicle • Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting, and debugging, and implementation • Translates requirements and applies requirements to development code • Review test outcomes, conducts troubleshooting, and works to debug issues • Implement interfaces for integration with other components of the autonomy stack Basic Qualifications • Must have the ability to obtain a secret clearance • Bachelor of Science in the following: Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field • Knowledge of software and system architecture patterns • Knowledge of application areas (computer vision, natural language processing, signal processing, robots, multi-agent systems, manned-unmanned teaming, etc.) • Demonstrated history of building prototypes in rapid prototyping environment • Experience working and collaborating in a multi-disciplinary research team setting • Experience using modeling languages including UML/SysML and integrated modeling tools like Enterprise Architect. • Experience designing and implementing classical autonomy algorithms (expert systems, A* route planning, etc.) • Fully Proficient in C++ programming experience • Experience with modern software development tools (git, docker, etc.) Desired Skills • Previous experience with applying advanced AI methods through applied research • Experience with simulation, Hardware in the Loop (HWIL), and field testing of embedded autonomy solutionsKnowledge of Database/SQL • Experience with Cuda and GPU implementation of path planning • Docker/Kubernetes, computer vision, fusion, optimization, localization, mission planning, signal processing, Java experience is a plus Pay Information Full-Time Salary Range: $110300.00 - $204900.00 Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.