Director of Engineering, Hivemind Pilot (R2794)
Shield AI
What You'll Do:
- Drive the technical direction and execution of the Hivemind Pilot product.
- Lead a 40-50 person engineering team in developing and maintaining the architecture and software components of the Hivemind Pilot, along with many representative implementations.
- Support the specialization of the Hivemind 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 Hivemind 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, Autonomy, 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 of building and leading a team of teams for mid-sized teams of 25-50 people.
- Proven track record of successful product launches in Autonomy/AI/Robotics as a manager.
- Strong expertise in autonomy and C++ software development.
- Excellent leadership, communication, and project management skills.
- Experience with agile development methodologies.
- Proven experience working in a fast-paced, dynamic environment while manage multiple evolving priorities effectively.
- Demonstrable experience in writing C++ code in past projects
- Proficiency in development tools like Git, Jira, Azure Devops, GitHub, SharePoint, M365, etc.
Preferred Qualifications:
- Ph.D. in Computer Science, Autonomy, Robotics, or a related field (or equivalent experience).
- 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.