1 day ago
Base Salary
$224k - $357k/yr
Responsibilities
- Develop the store, data model, query path, and data API for engineering performance data at GPU data-center scale.
- Ingest, join, store, and deliver profiling and telemetry data with low latency, incorporating host, scheduler, configuration, log, and storage context.
- Establish and version data contracts with data-producing teams and guide consumers through format changes without disruption.
- Handle delayed, duplicated, incomplete, and inconsistent data while making limitations visible to downstream users.
- Balance data quality, query latency, storage cost, and retention, and measure improvements in efficiency, latency, and resource usage.
- Implement evidence views, access controls, resource limits, and stable behavior during high demand or failures.
- Debug across component boundaries and validate changes through code review, testing, and independent measurements.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 12+ years of relevant software engineering experience, including delivery and operation of data pipelines, storage systems, analytical services, or comparable software used by others.
- Production experience with large-scale data, including billions of events per day or petabyte-class stores.
- Experience with low-latency streaming pipelines that handle backpressure, replay, and duplicate delivery accurately.
- Strong judgment regarding event identity and ordering, data transformations, and the effects of errors or missing data on results.
- Ability to explain a measured performance investigation, including baseline, competing explanations, changes, verified results, and trade-offs.
- Experience establishing and versioning data contracts and guiding consumers through format changes.
- Clear communication about technical choices, observed behavior, uncertainty, user data, and operational constraints.
- Proficiency with C++, Python, and SQL.
- Preferred experience with telemetry, time-series data, analytical query engines such as ClickHouse, and columnar formats such as Arrow and Parquet.
- Preferred familiarity with profiler data, trace record formats, sampling semantics, symbolization, clock domains, and cross-machine event alignment.
- Preferred experience with high-cardinality schemas and measured improvements to memory use, storage efficiency, or query performance.
- Preferred track record of making data processing easier to inspect and recover during input changes, traffic spikes, or failures.
- Working knowledge of Go is preferred.
Benefits
- Eligible for equity and benefits.
- The base salary range is 224,000 USD - 356,500 USD.
- The position is based in Santa Clara, California.
- Applications will be accepted at least until November 2, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.