Head of Quality Assurance – Robotics & Physical AI

Location: Bangalore, Karnataka
Experience: 10+ Years
Industry: Automotive / Mobility / Robotics / Manufacturing / Electronics / Hardware
Employment Type: Full-time

About the Company

Our client is building the infrastructure for the next generation of robotics and physical AI.

Through its Robotics Labs, the company is focused on solving one of the biggest challenges in robotics today: the shortage of high-quality, real-world data required to train advanced robotic and AI systems.

The team works across real commercial and residential environments to capture high-fidelity task data that can help leading robotics companies and research labs build the next generation of physical AI.

About the Role

We are looking for an experienced Head of Quality Assurance to own the end-to-end quality function across Quality Assurance, Quality Control, Visual Inspection, Data Quality, and Process Quality.

This is a hands-on leadership role suited to someone who has built and scaled quality systems from the ground up and is comfortable working across operations, engineering, manufacturing, and technology teams.

The ideal candidate will bring strong experience in automotive, manufacturing, mobility, robotics, electronics, or hardware, along with exposure to AI/ML, computer vision, robotics, or large-scale data-quality operations.

Key ResponsibilitiesQuality Leadership

- Own and define the overall QA/QC strategy, processes, standards, and KPIs.

- Build and scale quality systems across operations and manufacturing.

- Establish a strong culture of quality, accountability, and continuous improvement.

Visual & Product Quality

- Develop robust visual inspection and defect-detection processes.

- Define inspection standards, sampling methodologies, and defect classification frameworks.

- Drive root-cause analysis and corrective actions for recurring quality issues.

Quality Systems & Processes

- Develop and implement SOPs, inspection protocols, quality gates, and audit mechanisms.





- Establish CAPA and continuous improvement processes.

- Drive standardized quality practices across teams and locations.

Team Leadership

- Build, manage, and mentor high-performing QA/QC teams.

- Lead distributed quality teams across multiple functions and locations.

- Establish clear performance metrics and operating rhythms.

Cross-functional Collaboration

- Partner closely with Engineering, Operations, Manufacturing, Supply Chain, and Product teams.

- Identify recurring quality issues and drive permanent corrective actions.

- Ensure quality is embedded throughout the operational lifecycle.

Data & Quality Metrics

- Build quality dashboards and reporting mechanisms.

- Track and improve metrics including:

- Defect rates

- First-pass yield

- Rework

- Rejection rates

- Customer complaints

- Quality escapes

- Process compliance

Supplier & Process Quality

- Establish supplier quality standards.

- Drive incoming inspection, in-process quality, and final inspection processes.

- Work with suppliers and internal teams to improve process capability and quality.

Root Cause & Continuous Improvement

- Lead structured RCA and corrective/preventive action initiatives.

- Apply methodologies such as 8D, FMEA, SPC, Six Sigma, and CAPA.

- Continuously identify opportunities to improve quality, efficiency, and scalability.

What We're Looking For

- 10+ years of experience in QA/QC, Quality Engineering, or Quality Management.

- Experience in automotive, manufacturing, robotics, mobility, electronics, hardware, or a closely related industry.

- Proven experience building and scaling quality functions from the ground up.

- Experience managing large or distributed QA/QC teams.





- Strong knowledge of:

- CAPA

- RCA

- 8D

- FMEA

- SPC

- Six Sigma

- Quality Management Systems

- Strong experience with visual inspection, defect detection, and product/process quality.

- Data-driven approach to quality management and operational improvement.

- Excellent stakeholder management and communication skills.

- Hands-on mindset with the ability to work closely with teams on the ground and solve operational problems.

Strongly Preferred

Candidates with experience in one or more of the following will be highly preferred:

- Robotics

- Computer Vision

- AI/ML

- AI training data quality

- Data annotation / data labeling

- Automated visual inspection

- Large-scale real-world data pipelines

- Physical AI

- Autonomous systems

- Hardware quality in high-growth environments

Experience leading large-scale QA/data-labeling operations for real-world AI datasets will be a significant advantage.

Good to Have

- Experience with IATF 16949 or automotive quality systems.

- Six Sigma / Quality certification.

- Experience in a high-growth startup or scaling manufacturing environment.

- Exposure to AI-based visual inspection or automated quality systems.

What You'll Get

- Opportunity to build the quality function for an emerging physical AI / robotics organization.

- High ownership and direct impact on operations and product quality.

- Opportunity to work at the intersection of manufacturing, robotics, AI, and real-world data.

- Work with experienced technology, operations, and engineering teams.

- Fast-paced setting with significant scope to build and scale.

Location & Work Model

Bangalore | Work from Office

This role requires a hands-on approach and close collaboration with operations and engineering teams.

Apply

If you are a senior quality leader who enjoys building systems from scratch, leading teams, solving complex quality problems, and working at the intersection of manufacturing and robotics/AI, we'd like to hear from you.

📌 Head of Quality Assurance – Robotics & Physical AI (Bengaluru)
🏢 Neuraleap Technologies Group
📍 Bengaluru