Quality Manager- Humanoid & Robotics Project

We are seeking an experienced Quality Manager with a strong background in AI/ML systems to lead quality initiatives across our humanoid and cognitive robotics programs. This role focuses on ensuring end-to-end quality of machine learning data pipelines, model training, and AI system performance within the Physical AI domain. The ideal candidate brings hands-on experience in AI data quality, model validation, and testing of learning-based systems, ensuring high standards of accuracy, reliability, and robustness.

Work style: remote 100% from any place in Latvia

RESPONSIBILITIES:

• Develop and implement comprehensive quality assurance strategies tailored to humanoid and robotics development cycles
• Design and oversee testing protocols for robotic systems, including hardware integration, AI model validation, and real-world performance scenarios
• Build, mentor, and manage a quality assurance team dedicated to robotics and AI projects
• Ensure all products meet industry standards, safety regulations, and TELUS Digital AI quality benchmarks
• Identify bottlenecks and implement continuous improvement initiatives to enhance product quality and reduce defects
• Assess quality risks specific to humanoid and cognitive robotics (safety, reliability, edge cases) and develop mitigation strategies
• Partner with engineering, product, and AI teams to integrate quality considerations throughout the development lifecycle
• Establish KPIs, track quality metrics, and provide regular reports to senior leadership
• Maintain comprehensive quality documentation, test cases, and audit trails

MINIMUM REQUIREMENTS:

• Proven experience with AI models for humanoid robotics, autonomous robotic or cognitive robotic systems
• 5+ years of quality assurance or quality management experience in technology/software development
• 3+ years of experience in egocentric data collection, robotics, autonomous systems, or AI/ML projects
• Proven track record of leading quality initiatives in complex, hardware-software integrated environments
• Strong knowledge of testing methodologies (unit testing, integration testing, system testing, UAT)
• Experience with quality management systems and frameworks (ISO 9001, Six Sigma, Agile QA practices)
• Excellent project management and organizational skills
• Strong analytical and problem-solving abilities
• Bachelor's degree in Engineering, Computer Science, Quality Management, or related field

LEADERSHIP & PROFESSIONAL SKILLS

• Global Team Collaboration: Proven experience in working with global teams, over different time zones
• Leadership: Ability to inspire and guide teams toward quality excellence
• Technical Acumen: Deep understanding of robotics, AI systems, and quality assurance practices
• Communication: Clear articulation of quality requirements and findings to technical and non-technical stakeholders
• Strategic Thinking: Ability to align quality initiatives with business objectives
• Attention to Detail: Meticulous approach to identifying and resolving quality issues
• Adaptability: Comfort working in a fast-paced, innovative environment with emerging technologies

GOOD TO HAVE

• Knowledge of AI/ML model validation and testing
• Familiarity with safety-critical systems and compliance (ISO 26262, IEC 61508)
• Certification in quality management (ASQ, Six Sigma Black Belt)
• Experience with test automation tools and frameworks
• Background in hardware-in-the-loop (HIL) testing
• Agile/Scrum certification

*Only shortlisted candidates will be contacted/interviewed.

*Kindly attach an updated Copy of your CV in English.