Robotics Quality Lead

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact [email protected] subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here Job Responsibilities: The Robotics Data Quality Lead is responsible for defining, implementing, and continuously improving quality standards across all robotics data collection workflows. This role ensures that all collected data (video, sensor, teleoperation outputs, and annotations) meets client-defined accuracy, consistency, and usability requirements for AI model training. Working closely with the Robotics Program Manager and Workflow Managers, this role drives quality strategy, establishes scalable QA frameworks, and serves as the primary point of contact for all quality-related matters with stakeholders.Key ResponsibilitiesQuality Strategy & Ownership- Define and own the end-to-end data quality strategy across robotics data collection and annotation workflows

• Establish quality KPIs, SLAs, and acceptance criteria aligned with NVIDIA requirements
• Develop and track quality OKRs, ensuring alignment with overall program goals
• Proactively identify risks and implement preventative quality measures

Quality Operations & Execution- Design and implement quality assurance frameworks, including audits, sampling methodologies, and validation processes

• Oversee daily quality performance, ensuring consistency across operators, moderators, and workflows
• Partner with Workflow Managers to ensure task instructions and execution align with quality standards
• Ensure high-quality outputs across:- Teleoperation sessions
• Robotics interaction data
• Sensor and video capture
• Annotation and labeling outputs Performance Monitoring & Continuous Improvement- Monitor and report on quality metrics (accuracy, consistency, error rates, throughput impact)
• Conduct root cause analysis (RCA) on quality issues and implement corrective and preventive actions (CAPA)
• Drive continuous improvement initiatives across tools, workflows, and training
• Identify opportunities to improve efficiency without compromising quality

Team Leadership & Enablement- Lead and mentor a team of Robotics Quality Specialists

• Define training programs and onboarding for new quality team members
• Provide coaching and performance management for direct reports
• Promote a quality-first culture across all operational layers

Client & Stakeholder Engagement- Serve as the primary escalation point for quality-related issues

• Interface directly with NVIDIA stakeholders on:- Quality performance
• Reporting and insights
• Escalations and resolution plans
• Prepare and present regular quality reports and business reviews
• Anticipate client needs and proactively recommend improvements

Process, Documentation & Compliance- Maintain and evolve quality documentation, including guidelines, SOPs, and evaluation frameworks

• Ensure alignment with safety and compliance standards in robotics environments
• Support cross-functional collaboration with:- Safety & Compliance teams
• Program leadership
• Engineering / client teams RequirementsExperience- Experience managing quality in large-scale data operations, robotics, AI/ML, or similar environments
• Proven ability to lead cross-functional teams in fast-paced, client-facing settings
• Strong background in quality frameworks, process improvement, and data-driven decision making
• Experience with robotics workflows, teleoperation, or sensor-based data collection preferred

Core Skills- Strong analytical mindset with ability to interpret and act on data

• Experience with RCA, CAPA, and continuous improvement methodologies
• Excellent communication skills with ability to influence stakeholders
• Ability to manage multiple priorities and drive outcomes under tight timelines
• High attention to detail with a focus on scalable quality systems

Key Competencies- Strategic thinking with strong execution focus

• Ownership mindset and accountability for outcomes
• Ability to drive quality across complex, multi-layered workflows
• Strong leadership, coaching, and team development skills
• Customer-centric approach with proactive problem solving

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