Build and extend scalable, high-performance infrastructure services, platforms, and tools that improve reliability and developer productivity across NVIDIA’s chip-design ecosystem.
Design and optimize distributed workflows that orchestrate millions of regression and validation workloads across heterogeneous compute clusters.
Own systems end-to-end, from gathering requirements and proposing technical designs to implementation, performance analysis, testing, and deployment.
Collaborate with internal teams to understand workflows, identify bottlenecks, and deliver automation that accelerates engineering workflows.
Analyze and tune system performance across distributed services using profiling, tracing, and telemetry to help bring next-generation hardware and AI models to market faster.

Requirements

BS or MS in Computer Science or a related field (or equivalent experience).
5+ years of professional software development experience.
Strong understanding of data structures, algorithms, concurrency, and system design.
Proficiency in modern programming languages (Python, C++, Go, or similar) on Linux systems, with experience building large-scale services, infrastructure tooling, or distributed systems.
Ability to reason about trade-offs between performance, reliability, and maintainability.

Benefits

equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC++GoLinuxdata structuresalgorithmsconcurrencysystem designdistributed systemsinfrastructure tooling

Soft Skills

collaborationproblem-solvingperformance analysistestingdeploymentautomationworkflow optimizationcommunicationtechnical designbottleneck identification

Certifications

BS in Computer ScienceMS in Computer Science