Systems Engineer, Mission Autonomy, Clearance

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We are working on cutting-edge autonomous airpower systems that need to operate in the most demanding environments. To support our development and deployment tasks, we are building a Model-Based Systems Engineering team to guide Digital Engineering strategy and complement our Modeling and Simulation, Product Engineering, and Business Development teams. This team will provide Model Based Systems Engineering artifacts which will be used in support of product development, delivery, and sustainment of advanced mission autonomy systems.

• You will be a systems engineer who interfaces with stakeholders including internal programs and external customers
• You will develop artifacts based on stakeholder needs and work closely with functional areas to ensure artifacts are complete and accurate. Model Artifacts will often be contractual deliverables and require demonstration at stakeholder meetings and events
• This role will be critical proving that Anduril offers real Systems Engineering and Mission Systems Integration capabilities
• Participate in the development of our Digital and Systems Engineering Strategy and Implementation
• Develop a deep understanding of transformational value of Anduril platforms, autonomy, simulation, and perception products through the creation and maintenance of systems engineering artifacts

• B.S. in Computer Science, Electrical Engineering, or similar technical field with a focus on AI/ML and autonomous systems
• 2+ years Systems Engineering Experience across the life cycle in mission autonomy systems. The more, the better
• Familiarity with algorithm design and implementation for autonomous systems
• Experience with AI/ML technologies, including deep learning, reinforcement learning, and computer vision
• Experience with mission systems integration, particularly for AI-driven decision-making systems
• Understanding of sensor fusion techniques and their application in autonomous systems
• Experience with Systems Engineering, Requirements Elicitation and Management, Integration, and Test Activities on complex AI/ML-driven systems
• Experience with SysML, DoDAF, UAFP, or similar, particularly as applied to mission autonomy systems
• Experience developing various model based system engineering artifacts for autonomous systems - Operational Viewpoints, System Viewpoints, activity diagrams, use case diagrams, BDDs, IBDs, parametric diagrams, etc...
• Experience with Cameo Magic Draw or similar systems engineering software (Rhapsody, Sparx
  
  EA, etc...) in an AI/ML context
• Outstanding communication skills to include presentation of developed artifacts related to mission autonomy systems
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

• Hands-on experience developing and deploying AI/ML models for real-world autonomous systems
• Proficiency in simulation and modeling of autonomous systems and their environments
• Knowledge of communications systems and protocols used in autonomous platforms
• Experience with edge computing and distributed AI architectures
• Familiarity with ethical AI considerations and their implementation in autonomous systems
• Knowledge of adversarial AI and robustness in machine learning models
• Experience with real-time decision-making algorithms for autonomous systems
• Experience with AI/ML frameworks such as Tensor Flow,…