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About the Role

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, focusing on improving how complex performance data is processed, served, and operated, and involves close collaboration with partners in frontend, security, product, and source systems.

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.
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 owned.
Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.

Requirements

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.

Skills

Python
C++
Rust
SQL
Asynchronous backends
Query execution
Real-time stateful systems
Ingestion
Schema evolution
Analytical storage
Query-optimized data modeling
Failure handling
Concurrency
Automated tests
Production diagnostics
API evolution
Data model evolution
Testing
Observability
Operational practices
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
Cost attribution

Experience Level

Senior

Education Level

BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.

Salary/Compensations

140,000 USD - 224,250 USD

Benefits

Equity
Benefits

About the Company

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.

Equal Opportunity

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.