Senior CUDA Driver Performance Engineer

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks senior systems software engineers to accelerate the CUDA Driver, improving performance across CPUs, interconnects, and GPUs for the next generation of accelerated computing.

You will trace workloads, design features, and ship validated optimizations, collaborating across CUDA software, hardware, frameworks, and product teams. You will mentor engineers and influence CUDA software and GPU architectures.

Qualifications

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent with at least 7+ years of systems-software development experience.
• Strong production C/C++ systems-programming experience in a complex codebase.
• Solid operating systems and concurrency foundations including threads, synchronization, processes, virtual memory, and user/kernel interactions.
• Strong computer architecture foundations including processors, memory hierarchy, caching and coherence, data movement, and system interconnects.
• Proven track record improving real software performance through measurement, bottleneck identification, and profiling.
• Sound technical judgment and ownership of ambiguous problems with clear cross-team communication.
• Direct CUDA or GPU experience is valuable but not required if deep systems software foundations are present.

Responsibilities

• Develop and ship performance-centric CUDA Driver features and programming-model capabilities from design through validation.
• Diagnose complex performance problems through workload analysis, measurement and modeling, cross-layer root-cause isolation, and validation.
• Optimize critical CUDA primitives, memory management and movement, CPU-GPU coordination, and interconnect paths for latency, throughput, and scalability.
• Set performance goals for current and future platforms; characterize new platforms and drive readiness through releases.
• Translate workload and platform evidence into CUDA API, programming model, system software, and future GPU architecture recommendations.
• Set subsystem performance direction and mentor engineers tackling complex systems and performance challenges.
• Influence technical decisions with evidence-based tradeoffs and strengthen implementations through design and code reviews.

Skills

C/C++ systems programming

Concurrency and OS fundamentals

Computer architecture foundations

Performance optimization

Root-cause analysis

Communication across teams

CUDA/GPU experience (optional)

Education

BS/MS/PhD in CS/CE/EE or equivalent

Job description

NVIDIA seeks senior systems software engineers to accelerate the CUDA Driver, improving performance across CPUs, interconnects, and GPUs for the next generation of accelerated computing.

You will trace workloads, design features, and ship validated optimizations, collaborating across CUDA software, hardware, frameworks, and product teams. You will mentor engineers and influence CUDA software and GPU architectures.