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Director of Engineering, Hivemind Pilot

2 months ago

California, United States Shield AI Full time

As the Director of Engineering for Hivemind Edge, you will lead a talented team of autonomy and AI engineers responsible for the architecture, software development, and integration of Shield AI's core AI & Autonomy product. This role requires a blend of technical expertise, leadership, and strategic vision to drive the development of AI pilots for unmanned aerial vehicles. What You'll Do: Drive the technical direction and execution of the Hivemind Edge product. Lead a 40-50 person engineering team in developing and maintaining the architecture and software components of the AI Pilot, along with many representative implementations. Support the specialization of the AI Pilot and integration for customer projects. Manage competing business priorities and technical needs to create high-quality engineering plans and deliver capabilities on time within budget. Manage the software development life cycle for the AI Pilot. Collaborate with cross-functional teams, including program management, product management, sales, and customer success, to ensure successful product development and deployment. Review customer requirements and decompose them into systems/engineering requirements. Hire A-players at both manager and IC level to meet business objectives. Foster a high-performance culture through mentorship, talent development, and effective team management. Stay calm under pressure to keep team members aligned and focused. Ensure compliance with industry standards and best practices in AI and autonomy development. Required Qualifications: MS in Computer Science, Aerospace, Robotics, or a related field (or equivalent experience). 12+ years of total industry experience. 7+ years of experience in building and leading engineering teams. 3+ years of industry experience in building and leading a team of teams for mid-sized teams of 25-50 people. Proven track record of successful product launches in AI/Robotics as a manager. Strong expertise in AI, machine learning, autonomy, and software development. Excellent leadership, communication, and project management skills. Experience with agile development methodologies. Proven experience working in a fast-paced, dynamic environment while managing multiple evolving priorities effectively. Demonstrable experience in writing C++ code in past projects. Proficiency in development tools like Git, Jira, Azure Devops, Confluence, etc. Preferred Qualifications: Ph.D. in Computer Science, Engineering, Robotics, or a related field. Domain expertise in unmanned aerial vehicle systems/autonomous vehicles. Familiarity with multi-agent systems/swarming, computer vision, and sensor integration. Strong problem-solving skills and the ability to think strategically. Knowledge of industry trends and emerging technologies in AI and robotics. 2+ years of experience working at high-growth startups.

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