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As an Autonomy Engineering Intern, you will work on a project within Hivemind, focusing either on pilot component features or systems integration. The internship includes hands-on mentorship and a chance to contribute meaningfully to AI robotics projects.

The Senior Engineering Manager will lead a team in developing algorithms for autonomous systems. Responsibilities include designing core systems, mentoring team members, defining a technical roadmap, and collaborating on cloud infrastructure. This role requires a focus on task and motion planning, and real-time operating systems while ensuring high standards in software engineering and delivery.

As the Hivemind Commander Product Manager, you will drive the development and roadmap of Command and Control interfaces for autonomous systems, ensuring user needs are met through intuitive design and robust capabilities. Responsibilities include interfacing with customers, defining product requirements, and optimizing solutions for human-machine interactions across various domains.

As a Staff Software Engineer on the Planning and Controls team, you'll research and develop planning algorithms, optimize software for various UAS platforms, collaborate to enhance cloud infrastructure, and mentor engineers.

As a Senior Staff Software Engineer at Shield AI, you will research and implement advanced planning algorithms, optimize the planning stack, develop portable core systems for various UAS platforms, and build cloud infrastructure while mentoring junior engineers.

As the Forge Product Manager, you'll lead the development of Hivemind Forge, focusing on roadmap creation, software delivery, and customer interaction to enhance autonomy development and testing. Your role includes understanding user needs, developing product requirements, and ensuring quality and extensibility of the Hivemind Forge platform.

As a Software Engineering Manager, you will lead a team researching and developing algorithms for autonomous systems, create scalable core systems, and collaborate on cloud infrastructure and AI deployment. Responsibilities include defining technical roadmaps and mentoring engineers.