Software Test Manager, AI Systems

About the role

Quadric is a young, rapidly growing company that is creating innovative solutions for the next generation of artificial intelligence products. We fill new positions with people willing to work hard and collaborate with employees around the world. It's important that employees have the drive to pick something up and run with it. The Role

Key Responsibilities

• Define, implement, and lead the overall test strategy for the AI software stack, covering the entire end-to-end pipeline from compiler to hardware execution.
• Establish and drive a robust testing framework that includes unit testing, functional testing, component testing, and system-level testing.
• Oversee the continuous integration and continuous delivery (CI/CD) quality gate processes.
• Manage and lead all testing activities required for FUSA/ISO 26262 certification, ensuring the functional safety of the delivered software components.
• Develop and maintain a system for traceability of the solution from requirements through architecture, design, and testing artifacts.
• Lead, mentor, and manage a team of quality assurance and test engineers.
• Effectively manage managed services and/or contractors to augment internal testing capacity and specialized needs.
• Serve as the primary liaison between the development, product, and safety teams regarding quality metrics and release readiness.
• Drive the effective use of JIRA/Github issues for all issue tracking and defect management.
• Implement and leverage AI tools and methodologies for testing purposes to enhance automation, coverage, and efficiency.

Requirements

• 5+ years of hands-on experience in a Software Test Management or Quality Assurance leadership role, specifically within an embedded, compiler, or AI/ML software domain.
• Deep expertise in developing and managing comprehensive test plans for complex software systems (e.g., compilers, operating systems, hardware interfaces).
• Proven experience with rigorous industry quality standards, including leading testing efforts for FUSA/ISO 26262 or similar safety-critical standards.
• Expert-level knowledge and practical experience with JIRA/Github issues for managing the full lifecycle of issues, defects, and establishing requirements traceability.
• Demonstrated experience managing both internal teams and external resources (e.g., contractors, managed services).
• Familiarity with the architecture of graph compilers, LLVM, or other toolchains relevant to AI/ML acceleration.

Preferred Qualifications

• A Master's degree in Computer Science, Embedded Systems, Artificial Intelligence, or a related technical field.
• Direct experience with AI tools used for enhancing testing, such as machine learning for test case generation, anomaly detection in logs, or predictive defect modeling.
• Experience in the automotive or high-reliability embedded computing industry.
• Familiarity with various programming languages relevant to the stack (e.g., C++, Python).