Model Based Systems Engineer, Collaborative Autonomy

EpiSci is at the forefront of tactical mission autonomy, specializing in defense, aerospace, and commercial applications. As a Model Based Systems Engineer, you'll be instrumental in designing and implementing architectures for various tactical AI applications. The role combines cutting-edge AI, autonomy algorithms, and systems engineering to address national security challenges.

The position offers an opportunity to work on groundbreaking projects, including AI aviators for F-22 and F-16 aircraft, tactical communication systems, and autonomous UAV swarms. You'll be responsible for developing system engineering models, collaborating with government and industry partners, and delivering MBSE-related products.

The ideal candidate should have a strong foundation in systems engineering with model-based tools, proficiency in SysML and UML, and experience with tools like Cameo and Magic Draw. A Bachelor's degree in Engineering, Math, or Science is required, with 2+ years of relevant experience.

This role requires U.S. citizenship and eligibility for a SECRET security clearance. The position involves 10-20% travel, with the option for relocation assistance to headquarters in Poway, CA. EpiSci offers competitive compensation ranging from $100,000 to $190,000, based on location and experience.

EpiSci values diversity and encourages applications from candidates who may not meet every qualification but are passionate about the field. The company provides a collaborative environment where you'll work with diverse teams to innovate software solutions for complex problems in autonomous systems.

Working at EpiSci means being part of a team that's pushing the boundaries of what's possible in tactical mission autonomy. You'll have the opportunity to develop and test cutting-edge solutions while working with advanced technologies and contributing to national defense capabilities.