Job description

NVIDIA's Developer Tools team is seeking a Senior Backend Platform Engineer to build scalable and reliable capabilities for profiling services. This role combines production backend engineering with data-intensive systems work. You will improve how complex performance data is processed, served, and operated. The work involves close collaboration with partners in frontend, security, product, and source systems. What you’ll be doing: • Design and build production backend services for interactive performance analysis and collaborative workflows. • Improve the responsiveness, scalability, and efficiency of data-intensive product experiences. • Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets. • Create durable service interfaces and data models that can evolve as product needs grow. • Engineer resilient behavior for concurrency, partial failures, retries, and recovery. • Establish effective testing, observability, and operational practices for the capabilities you own. • Partner with frontend, security, product, and source-system teams to deliver complete customer workflows. What we need to see: • BS or MS 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. • For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems. • For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling. • Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery. • Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements. • A record of working across client, service, data, and security concerns to ship a complete production workflow. Ways to stand out from the crowd: • Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. • Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale. • Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques. • Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing. • Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Design and build production backend services for interactive performance analysis and collaborative workflows.
Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.
Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.
Create durable service interfaces and data models that can evolve as product needs grow.
Engineer resilient behavior for concurrency, partial failures, retries, and recovery.
Establish effective testing, observability, and operational practices for the capabilities you own.
Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.
BS or MS 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.
For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.
For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling.
Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery.
Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.
A record of working across client, service, data, and security concerns to ship a complete production workflow.
Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.
Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale.
Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques.
Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing.
Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlrustai

Platform: eightfold
Effort: medium