Description
NVIDIA is seeking an engineering lead to architect and scale the data acquisition infrastructure that powers our foundation models. Starting with code and STEM data for Nemotron, you will build the systems that discover valuable sources, crawl the open web at scale, and deliver reliable, high-quality data to training pipelines.
This is a hands-on technical leadership role spanning distributed systems, crawl infrastructure, and third-party data ingestion. You will own the architecture of a unified platform covering source discovery, URL indexing, crawl frontiers, predictive ranking, scheduling, distributed fetching, and ingestion.
Responsibilities:
- Work with storage and scaling teams to design scalable frontier storage and queueing systems with high-throughput writes, efficient lookups, deduplication, and scheduling based on data quality, diversity, and freshness.
- Develop a shared crawl execution layer that fetches reliably and politely at scale, handling dynamic websites while keeping resource use under control.
- Build extensible pipelines for open-web, licensed, and partner content, including text, PDFs, code repositories, and multimodal assets.
- Partner with parsing and curation teams to preserve valuable code, math, and structured content, and improve accepted data yield.
- Implement provenance and policy enforcement with legal, privacy, security, and data governance partners.
- Own production readiness, including capacity planning, observability, fault tolerance, recovery, and cost efficiency.
- Work with research and product teams to evaluate internal crawls and external datasets through comparable pilots.
- Coordinate dependencies across teams and make clear tradeoffs between immediate data delivery and long-term platform development.
Requirements:
- A BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
- 15+ years of relevant experience in software engineering, including designing and operating large-scale distributed systems, setting technical direction, and delivering complex infrastructure across multiple teams.
- Deep experience with web crawling or closely related discovery, indexing, or ingestion infrastructure, including distributed scheduling, stateful services, storage, and high-throughput data processing.
- Strong hands-on engineering and system design skills.
- Experience building batch or streaming pipelines and reasoning about consistency, retries, duplicate processing, backpressure, and recovery.
- Experience delivering data platforms for research, ML, search, or other demanding technical users.
- Strong technical communication and leadership through influence across engineering, product, research, and governance teams.
Nice to Have:
- Experience architecting a web-wide crawl platform, scaling crawl frontier storage, or consolidating multiple acquisition systems into shared infrastructure.
- Direct experience supplying foundation-model pretraining data, including targeted discovery, quality-aware crawl ranking, and acquisition of code or technical content.
- Experience implementing publisher consent, training-use opt-outs, dataset licensing controls, or provenance infrastructure at scale.
- Background with browser-based or agentic data collection, programmable extraction, and sandboxed environments for tool-use data or post-training evaluation.
- Experience onboarding licensed or multimodal datasets, building reusable partner integrations, or delivering streaming feeds with low latency for retrieval and grounding.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.