# Senior MLOps Manager

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-MLOps-Manager_JR2019599?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8041359f-564

## Description

NVIDIA is seeking a Senior MLOps Manager to lead data operations, ground truth (GT) production, and delivery for its autonomous driving stack.

In this role, you will work with world-class data engineering, data factory, outsource labeling, and MLE teams on programs that directly impact NVIDIA's autonomous driving stack. You will own the end-to-end GT operations lifecycle for WR/INDF, from requirements and planning through annotation, QA, and final delivery to model training and evaluation.

**Responsibilities:**

- Own the GT production and delivery pipeline, ensuring datasets are delivered on time, at the right quality, and at the right scale for model training and validation.

- Define GT requirements with Data Analyst and MLE teams, and translate them into clear labeling specs, QA specs, volumes, SLAs, and quality targets.

- Manage day-to-day GT operations across internal teams and external vendors, including task allocation, throughput tracking, and issue triage.

- Establish and monitor key operational metrics (throughput, quality, rework rate, audit pass rate, labeling cost), driving continuous improvement using data-driven insights.

- Partner with tooling and data infrastructure teams to improve labeling tools, QA workflows, and GT data pipelines, including opportunities to leverage AI agents to boost efficiency.

- Lead cross-functional reviews and post-mortems when GT issues are discovered, and drive root-cause analysis and corrective actions.

**Requirements:**

- BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).

- 10+ years of overall professional experience in data operations, labeling operations, ML data programs, or related fields, working with large-scale data or ML-driven products.

- 5+ years of direct leadership/management experience leading data operations, labeling teams, or cross-functional GT programs (people management and/or end-to-end program ownership with defined KPIs and SLAs).

- Proven track record owning end-to-end data or GT operations, with clear examples of how you improved quality, efficiency, and reliability.

- Strong communication and stakeholder management skills, with experience working across engineering, ML, product, and vendor teams.

- Solid analytical skills and comfort working with metrics and dashboards to drive decisions.

**Preferred Qualifications:**

- Experience leading GT or labeling operations for autonomous driving, robotics, or other complex ML domains.

- Hands-on familiarity with annotation tools, dataset management platforms, and data quality frameworks.

- Experience applying AI/agentic tooling to improve operations (e.g., auto-labeling, active learning, agent-assisted QA, or workflow automation).

- Prior experience managing external labeling vendors, including setting up SLAs, quality targets, and feedback loops.

## Skills

### Required
- Data Operations
- Labeling Operations
- ML Data Programs
- Leadership
- Communication
- Analytical Skills

### Nice to have
- Autonomous Driving
- Robotics
- Annotation Tools
- Dataset Management
- AI Agentic Tooling
- Vendor Management

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-MLOps-Manager_JR2019599?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)