ML Data Ops Lead — AV Dataset Release & Delivery

NVIDIA; Nevada (IA); On-site; USD 168,000 - 322,000; Full time

Job summary

NVIDIA is redefining the automotive industry with accelerated computing, AI, and autonomous-vehicle data systems. This role oversees ML dataset operations, ensuring release quality and timely delivery to ML teams.

You will coordinate requirements, manage release calendars, monitor workflows, and communicate status and risks to customers. Strong data lifecycle, SQL, Python, and cross-team collaboration are essential.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
• 6+ years of experience in ML data operations, technical service delivery, dataset operations, or similar data-intensive roles.
• Solid understanding of the ML data lifecycle: collection, curation, labeling, validation, versioning, release, storage, and consumption by training/evaluation pipelines.
• Ability to use SQL and data-analysis tools to investigate dataset contents and identify data quality issues.
• Strong customer orientation and ability to translate between ML engineers, data specialists, and infrastructure teams.
• Excellent written communication skills for requirements, release notes, status updates, and operating procedures.
• Judgment balancing customer timelines, capacity, reliability, data quality, and release priorities.
• Proven track record of influencing across a matrixed organization.
• Comfort in fast-moving environments with changing requirements.

Responsibilities

• Serve as the primary operational partner for ML engineers and internal consumers of AV datasets.
• Capture and clarify dataset release requirements (use cases, signals, volumes, cadence, timelines, storage, acceptance criteria).
• Manage release calendar, coordinate priorities, dependencies, and compute capacity across tracks.
• Monitor production release workflows, identify failures, and drive resolution with engineers and infra owners.
• Validate release results against volumes, signals, versions, and quality criteria before customer communication.
• Maintain timely communication with customers regarding status, risks, incidents, and recovery plans.
• Produce release notes, announcements, known-issue docs, and handoff information for ML teams.

Skills

SQL proficiency

Data lifecycle

Customer orientation

Written communication

Cross-functional collaboration

Project execution

Problem solving

Education

Bachelor's degree

Tools

Python

Databricks

Job description

NVIDIA is redefining the automotive industry with accelerated computing, AI, and autonomous-vehicle data systems. This role oversees ML dataset operations, ensuring release quality and timely delivery to ML teams.

You will coordinate requirements, manage release calendars, monitor workflows, and communicate status and risks to customers. Strong data lifecycle, SQL, Python, and cross-team collaboration are essential.