3 days ago
Base Salary
$140k - $224k/yr
Responsibilities
- Design and build production backend services for interactive performance analysis and collaborative workflows.
- Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.
- Onboard, validate, organize, and serve large performance datasets.
- Create durable service interfaces and data models that evolve with product needs.
- Engineer resilient behavior for concurrency, partial failures, retries, cancellation, replay, and recovery.
- Establish testing, observability, diagnostics, and operational practices for owned capabilities.
- Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
- 5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language.
- Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data.
- Experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems for service-focused work.
- Strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling for data-focused work.
- Sound judgment regarding failure and concurrency, including cancellation, replay, safe retries, or recovery.
- Ability to use logs, metrics, traces, load tests, or data-quality signals to improve system behavior.
- Record of working across client, service, data, and security concerns to ship complete production workflows.
- Preferred coding experience with Python, C++, or Rust, with Rust highly valued.
- Preferred experience with high-cardinality, time-indexed, trace, telemetry, or profiling workloads; WebSockets, pub/sub, replay, columnar formats, embedded query engines, analytical stores, progressive detail, incremental processing, generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution.
Benefits
- Eligible for equity and benefits.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.