Senior Engineer, Simulation Application (R3989) (TX/SD/Bos)

Shield AI is building autonomous aircraft that push the limits of aviation. The Software Integration & Operations (SIO) team builds and sustains the release systems that make safe, rapid, and repeatable deployment of aircraft software possible.

As a Simulation Application Engineer, you will be responsible for improving and adding to our operator training tool interface and architecture to bring about a seamless training experience that translates into expert real world use. You and your software will directly ensure our operators always the tools needed to train in simulation before embarking on their missions; in the classroom or in the field.

WHAT YOU'LL DO:

• Work with our training team to align on designs that bring about the best user experience and our internal engineering teams to support their development.
• Build out containers and integrate with other software applications to make the simplest workflows as possible on Linux and Windows.
• Design and develops automated testing strategies to avoid regressions in the training application and ensure reliability.
• Optimize performance and scalability of the simulation application to support complex training scenarios and multiple concurrent users.
• Rapidly prototype and evaluate new technologies to keep the training system at the cutting edge.

REQUIRED QUALIFICATIONS:

• BS in Computer Science or related engineering field with 3+ years of professional experience.
• Strong foundation in Python.
• Passion for creating an amazing user experience in a complex system.
• 2+ years of experience creating operator/pilot training applications.
• Interest in aerospace and autonomous vehicles.
• Eagerness to learn, adapt, and grow in a collaborative team environment, with a proactive approach to problem-solving and communication.
• Experience developing automated testing of GUIs.
• Experience with containerization.

PREFERRED QUALIFICATIONS:

• Experience with TypeScript, Java, and C++
• Experience creating and modifying DevOps pipelines
• Experience with Data Analysis tactics and designs
• Experience with Containerization