Robotics Humanoid Quality Manager

TELUS Digital AI Data Solutions; Bengaluru; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

TELUS Digital AI Data Solutions in Bengaluru seeks a seasoned Quality Manager to lead quality initiatives across humanoid and robotics projects. You will own end-to-end data quality, QA frameworks, and continuous improvement to ensure reliable, safe, and efficient AI-powered humanoid systems.

You will build and guide a QA team, define testing protocols, ensure compliance with ISO 9001 and other standards, and report KPIs to leadership as the products evolve in a highly cross-functional

Qualifications

• 5+ years of quality assurance or quality management experience in technology/software development
• 3+ years in egocentric data collection, robotics, autonomous systems, or AI/ML projects
• Proven track record leading quality initiatives in 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)
• Bachelor's degree in Engineering, Computer Science, Quality Management, or related field

Responsibilities

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

Skills

Quality assurance

Quality management

Leadership

Data quality

Robotics/AI systems

Education

Bachelor's degree in Engineering

Tools

ISO 9001

Six Sigma

Agile QA practices

Job description

Quality Manager- Humanoid & Robotics Projects

POSITION SUMMARY

An experienced Quality Manager to lead and drive quality initiatives across our humanoid and robotics projects. This strategic leadership role will drive end to end data quality integrity, quality assurance, testing frameworks, and continuous improvement processes for Physical AI humanoid robotics space. The successful candidate will ensure that our humanoid data solutions meet the highest standards of quality, reliability, and efficiency.

RESPONSIBILITIES:

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

QUALIFICATIONS:

• 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

ADDITIONAL ADVANTAGES:

• Experience with humanoid robotics or autonomous robotic systems
• 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

CORE COMPETENCIES:

• 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
• Proven experience in working with global teams over different timezones.