Quality Manager - ADAS

rProcess; Mysuru; On-site; INR 600,000 - 900,000; Full time

Job summary

A leading technology services provider is seeking a Quality Lead in Quality Assurance based in Mysuru, India. This role focuses on executing quality processes for ADAS and LiDAR projects, ensuring compliance with standards, and leading training for quality analysts. Ideal candidates will possess a Bachelor’s degree and 3–4 years of relevant experience. The position is full-time and targets mid-senior level professionals. Interested applicants should reach out via the provided contact email.

Qualifications

• 3–4 years of experience in ADAS, LiDAR, video annotation, or AI/ML data services.
• 2+ years in a Quality Lead / Senior Quality Analyst role.
• Hands-on experience with annotation tools.
• Strong attention to detail and analytical mindset.
• Effective communication and stakeholder coordination skills.
• Ability to work hands-on in delivery-driven, high-accuracy environments.

Responsibilities

• Implement quality standards and processes for ADAS and LiDAR programs.
• Monitor and report quality KPIs such as accuracy and precision.
• Guide and train quality analysts on standards and tools.
• Support compliance with ISO 9001, ISO 27001, client quality requirements, NDAs, and data security policies.
• Act as a key quality contact for project teams during client reviews, audits, and escalations.
• Guide, mentor, and train quality analysts and reviewers on annotation standards, tools, and common error patterns.
• Conduct quality trainings on LiDAR fundamentals, annotation workflows, and tool usage.
• Identify recurring quality issues, support root cause analysis, and recommend corrective actions.
• Support Lean / Six Sigma initiatives to reduce rework and improve cycle time.

Skills

Attention to detail

Analytical mindset

Effective communication

Stakeholder coordination

Hands-on delivery

Education

Bachelor’s Degree / Engineering

Tools

CVAT

Supervisely

Job description

Quality Lead – Quality Assurance

rProcess is a global business process and technology services provider, dedicated to driving transformation and innovation for enterprises worldwide. Specializing in Engineering Design Services, Computer Vision, Generative AI & NLP, and Data and Content Management, rProcess offers intelligent and scalable solutions tailored to meet diverse business needs. With over 15 years of expertise, the company has partnered with Fortune 500 companies and high‑growth organizations to accelerate digital transformation, intelligent automation, and sustainable development. Headquartered in Mysuru, India, rProcess is recognized for its commitment to inclusivity, ESG compliance, and excellence, as evidenced by its Platinum RBA Member status and certifications, including ISO, GDPR, and HIPAA.

Location: Mysuru

Function: Quality Assurance

Domain: ADAS | Autonomous Driving | LiDAR | Video Annotation | AI/ML Data Services

Role Overview: The Quality Lead is responsible for executing and maintaining quality processes for ADAS, LiDAR, and video annotation programs. This role ensures annotation accuracy, consistency, and compliance with defined standards, while supporting continuous improvement and audit readiness for safety‑critical AI/ML datasets.

Key Responsibilities

• Implement and adhere to defined quality standards, SOPs, and annotation guidelines for 2D/3D annotation, LiDAR point clouds, video labeling, object tracking, and sensor fusion.
• Execute QC workflows including sampling, multi‑level reviews, audits, RCA, CAPA, and defect tracking.
• Monitor and report quality KPIs such as accuracy, precision, recall, defect density, and SLA adherence.
• Support compliance with ISO 9001, ISO 27001, client quality requirements, NDAs, and data security policies.
• Act as a key quality contact for project teams during client reviews, audits, and escalations.
• Guide, mentor, and train quality analysts and reviewers on annotation standards, tools, and common error patterns.
• Conduct quality trainings on LiDAR fundamentals, annotation workflows, and tool usage.
• Identify recurring quality issues, support root cause analysis, and recommend corrective actions.
• Support Lean / Six Sigma initiatives to reduce rework and improve cycle time.

Technical & Domain Expertise

• Working knowledge of ADAS and autonomous driving datasets, LiDAR point clouds, and video annotation.
• Hands‑on experience with annotation tools such as CVAT, Supervisely, or similar platforms.
• Understanding of ML data validation, acceptance criteria, and dataset quality checks.

Experience & Qualifications

• Bachelor’s Degree / Engineering.
• 3–4 years of experience in ADAS, LiDAR, video annotation, or AI/ML data services.
• 2+ years in a Quality Lead / Senior Quality Analyst role.
• Strong attention to detail and analytical mindset.
• Effective communication and stakeholder coordination skills.
• Ability to work hands‑on in delivery‑driven, high‑accuracy environments.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Quality Assurance

Industries

IT Services and IT Consulting

Please apply to [e-mail]

Please contact: 8217389047

Visit our website: www.rprocess.ai