# ML Data Operations Lead

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/ML-Data-Operations-Lead--Dataset-Release-and-Delivery---Autonomous-Vehicles_JR2025145?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1255bea6-b96

## Description

NVIDIA is seeking an ML Data Operations Lead to own the customer-facing operational lifecycle of AV dataset releases. The successful candidate will work at the intersection of machine learning, data engineering, infrastructure, and release operations.

Responsibilities:

- Serve as the primary operational partner for ML engineers and other internal consumers of AV datasets.

- Capture and clarify dataset release requirements, including intended use cases, required signals and labels, data volumes, release cadence, delivery timelines, storage destinations, and acceptance criteria.

- Be responsible for the release calendar and coordinate priorities, dependencies, engineering readiness, and compute capacity across multiple concurrent dataset-release tracks.

- Monitor production release workflows from launch through delivery. Identify failures, stalled tasks, resource constraints, missing data, and other risks, then bring together the appropriate engineers and infrastructure owners to drive resolution.

- Validate release results against expected volumes, signals, versions, and quality criteria before communicating availability to customers.

- Maintain timely, accurate communication with customers regarding release status, risks, incidents, changing estimates, and recovery plans.

- Produce release notes, delivery announcements, known-issue documentation, and handoff information that enable ML teams to understand and use each dataset confidently.

Requirements:

- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.

- 6+ years of experience in ML data operations, technical service delivery, dataset operations, release operations, technical program execution, or another data-intensive operational role.

- Solid understanding of the machine learning data lifecycle, including data collection, curation, labeling, validation, versioning, release, storage, and consumption by training or evaluation pipelines.

- Ability to use SQL and data-analysis tools to investigate dataset contents, reconcile expected and delivered results, and identify quality or completeness issues.

- Strong customer orientation and skill in translating between ML engineers, data specialists, infrastructure teams, and other technical collaborators.

- Excellent written communication skills, including the ability to produce detailed requirements, release notes, status updates, incident summaries, and operating procedures.

- Excellent judgment when balancing customer timelines, engineering capacity, system reliability, data quality, and competing release priorities.

- Proven track record of influencing without direct authority and driving work to completion across a highly matrixed organization.

- Comfort operating in a fast-moving environment where requirements, data availability, and technical constraints may change quickly.

Nice to Have:

- Experience operating large-scale dataset generation, materialization, validation, or delivery workflows, especially for autonomous-driving, ADAS, robotics, or computer-vision systems.

- Familiarity with automotive sensor and ground-truth data, including camera, lidar, radar, mapping, calibration, or multimodal datasets.

- Hands-on experience with Python, notebooks, Databricks, dashboards, or lightweight automation used to investigate data and improve operational workflows.

- Experience defining service-level objectives, operational metrics, alerting, incident-management practices, and root-cause corrective actions.

- A track record of converting frequently repeated customer requests or operational problems into standardized, automated, and scalable services.

Benefits:

- Base salary range: 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5

- Equity and benefits

## Skills

### Required
- Machine Learning
- Data Engineering
- Release Operations
- Technical Program Execution
- SQL
- Data Analysis

### Nice to have
- Python
- Databricks
- Dashboards
- Lightweight Automation
- Service-Level Objectives
- Operational Metrics

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/ML-Data-Operations-Lead--Dataset-Release-and-Delivery---Autonomous-Vehicles_JR2025145?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)