Engineering Manager – Software QA

Engineering Manager – Software QA

Requirements

• 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.
• Strong understanding of robotics hardware—actuators, sensors, embedded systems, and mechanics—and how it affects real-world performance.
• Deep understanding of software QA methodologies, automated test development, and CI/CD pipelines.
• Hands-on experience with QA frameworks and tools for robotics, including simulation-based testing (e.g., Gazebo, Isaac Sim, MuJoCo) and real-time validation.
• Proficiency in scripting languages (e.g., Python) and working knowledge of software development workflows (Git, Jenkins, Docker, etc.).
• Familiarity with robotics software architecture, embedded systems, control loops, and perception pipelines.

Responsibilities

• Lead, grow, and mentor a team of SW QA engineers focused on end-to-end testing of robotics software, from perception and locomotion to behavior and autonomy.
• Define and execute the QA roadmap for software quality, test infrastructure, and CI/CD strategy as Agility’s robot fleet and software complexity scale.
• Champion a “quality-first” mindset across the engineering organization by setting expectations, driving accountability, and advocating for robust testing at every stage.
• Refine and evolve Agility’s CI/CD processes, ensuring fast, reliable, and scalable software validation from code commit to release.
• Own the architecture and tooling for test execution, artifact management, regression tracking, and reporting.
• Identify gaps in current test coverage and infrastructure, and lead efforts to develop simulation- and hardware-in-the-loop testing solutions.
• Establish and scale structured test development practices to validate the full robotics software stack, including controls, state estimation, planning, and perception.
• Oversee development of automated test frameworks for both simulation and physical robots, ensuring test cases are meaningful, maintainable, and well-aligned with product goals.
• Ensure repeatability, reliability, and traceability across all validation workflows—manual and automated.
• Oversee testing of software releases on both development and production robot platforms, ensuring regressions are caught early and addressed swiftly.
• Partner with Software, Controls, and Systems Engineering teams to triage, reproduce, and resolve high-priority bugs.
• Drive and participate in root cause analysis efforts by guiding deep-dive investigations using logs, telemetry, and test artifacts, partnering closely with integration engineers.
• Define quality gates for software releases, balancing speed with rigor to maintain stability without slowing innovation.
• Develop and enforce processes for bug tracking, prioritization, and resolution, ensuring efficient communication between QA and development.
• Create KPIs to track software quality, test coverage, and release readiness—and use them to drive continuous improvement.
• Deliver clear and actionable QA reports summarizing test outcomes, trends, and risks.
• Ensure robust documentation of QA processes, test plans, and tooling to support internal alignment and team scaling.
• Provide regular updates to leadership on software health, risk areas, and resource needs.

Preferred Qualifications

• 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.