Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency - robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling.

EXPERIENCE

• 8+ years of industry experience in software QA, systems validation, or test infrastructure, with at least 3 years in a leadership or management role.
• Proven experience testing complex, multidisciplinary systems—robotics, autonomous vehicles, or embedded systems preferred.
• Track record of building, scaling, and managing QA teams in high-growth, fast-paced environments.

MINDSET & SKILLS

• Ownership mindset—takes initiative and drives projects forward without waiting for permission.
• Pragmatic and scrappy—builds processes and tools that solve real problems without unnecessary overhead.
• Excellent communicator—able to translate test results into actionable feedback and influence across disciplines.
• Passion for quality, curiosity for how things work, and resilience in the face of complexity.

ABOUT THE ROLE

As the Engineering Manager of Software QA, you will lead the strategy, execution, and evolution of quality assurance for Agility’s robotics software. You’ll manage and grow a team responsible for validating our humanoid robot platform, ensuring software releases are reliable, performant, and ready for real-world deployment.
This role goes beyond day-to-day testing—you’ll be responsible for building out scalable test methodologies, refining CI/CD pipelines, and embedding a culture of quality into every stage of the development cycle. You will collaborate closely with software developers, controls engineers, systems engineers, and test teams to ensure rigorous, efficient, and automated validation practices are in place.
This is an ideal role for a technically strong, process-driven leader who can balance speed and stability while scaling QA operations for advanced robotic systems.