Autonomy Engineer III

SkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. 

SkyGrid is seeking an Autonomy Engineer III to join our Advanced Air Mobility (AAM) R&D team to build the future of safe, efficient, and scalable Air Traffic Management (ATM) solutions. You will be responsible for taking autonomy concepts from early-stage ideas through prototyping and validation to establish system requirements. In this role, you will focus on maturing autonomy capabilities to support technology maturation through prototype development. You will collaborate with multidisciplinary teams, external partners, and customers. This position also involves occasional travel to support lab and flight test activities, and internal and industry demonstration events. 

• Develop, analyze, and evaluate enhancements to ground-based traffic surveillance solutions. 
• Demonstrate successful testing and simulation results for one or more autonomy capabilities. 
• Contribute to Technical Maturation Reports supporting progression towards Technology Readiness Level (TRL) of 5. 
• Build strong and collaborative working relationships with cross-functional teams and external partners. 
• Ensure all developed code and models meet high standards and adhere to DO-178C. 
• Support deployment for field test or demonstration. 
• Deliver multiple new functions and enhancements to the traffic surveillance function. 
• Ensure all software artifacts – including Simulink models, generated code, handwritten code, and test cases – comply with coding standards and a subset of DO-178C objectives. 
• Lead technical reviews of assigned functions or enhancements with stakeholders. 

• Take autonomy concepts through iterative R&D prototyping, testing, and analysis to generate formal system requirements. 
• Implement algorithms in Simulink, C/C++, MATLAB, and Python. 
• Prepare documentation and contribute to varying technical documents, particularly technology maturation reports. 
• Collaborate with internal teams to define functional and performance requirements for autonomy-based functions. 
• Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase. 
• Participate in design reviews, Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) testing, live flight testing, and demonstration events. 
• Foster collaboration by engaging with external organizations, research institutions, and industry partners, as well as supporting technical publications and conference contributions. 

• Minimum 5 years of experience in autonomy, control systems, robotics, or aerospace software development. 
• B.S. in Computer Science, Aerospace Engineering, Robotics, or related field. 
• Work experience in algorithm development or R&D for autonomous systems. 
• Experience with mathematical formulation of vehicle kinematics and dynamics, route planning, optimization, conflict detection, and resolution algorithms 
• Proficiency in Simulink, MATLAB, C/C++, and Python for modeling, simulation, and software prototyping. 
• Strong understanding of networking principles and communication protocols. 
• Strong proficiency in authoring APIs, ICDs, and other technical documentation for software and hardware integration. 
• Familiarity with R&D of algorithms and functions that enable autonomous systems. 
• Development, integration, and testing in SIL/HIL simulation environments. 
• Strong debugging, test design, and simulation skills in complex systems. 

• Define the problem statement 
• Conduct state-of-the-art analysis 
• Analyze problems that are not clearly defined 

• Transportation networks 
• Tactical or strategic conflict detection and resolution for air vehicles 
• Flight planning 
• Machine learning 
• Resource optimization 
• Advanced Air Mobility 
• Bayesian or probabilistic modelling 
• Control theory 

• Must be a U.S. Person 

• M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field, or equivalent industry experience. 
• Completion of MathWorks certified training in topics such as Simulink, Model-Based Design, and Embedded Coder. 
• Familiarity with aviation and air traffic management operations.
• Familiarity with developing software in alignment with industry standards, such as DO-178C. 
• Experience developing software for Real-Time Operating Systems (RTOS). 
• Experience contributing to evolving system and software requirements. 

• Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options.
• Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings.
• Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources.
• Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide.
• Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development
• Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.
• Fully Stocked Kitchen: Enjoy a variety of snacks and beverages to keep you fueled throughout the day.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

An employee must be able to perform the essential functions of the position satisfactorily, and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, if it does not pose undue hardship.