Software Engineer, Performance Instrumentation

• Define and maintain the performance data requirements from various sources including profiling libraries, annotation APIs, frameworks, runtimes, communication libraries, schedulers, configurations, and infrastructure telemetry.
• Identify and prove visibility gaps with concrete evidence, demonstrating which diagnoses are not possible with current data. Collaborate with relevant teams to address these gaps or build solutions where necessary.
• Inform the build of low-overhead instrumentation and annotation APIs from the perspective of the consumer, ensuring the necessary information is conveyed efficiently and effectively.
• Ensure data quality at ingestion by implementing validation, sanitization, checks, and alerting mechanisms, so that any gaps or errors are detected before impacting users or automated analysis.
• Measure and manage the overhead and observer effects of instrumentation on real workloads, ensuring they remain within acceptable limits.
• Collaborate with multiple partner teams simultaneously, managing commitments and ensuring continuous progress.

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 8+ years of relevant software engineering experience, including hands-on experience with instrumentation or tracing in production machine learning or systems software.
• Proficiency in CUDA, and working knowledge of machine learning frameworks like PyTorch or JAX, as well as annotation or tracing APIs such as NVTX.
• Demonstrated experience in maintaining data quality in a pipeline, including validation, checks, alerting, and provenance.
• Proven ability to measure instrumentation overhead and make trade-offs among overhead, fidelity, sampling, and aggregation.
• Proven history of implementing modifications in code managed by other groups by identifying requirements, reaching consensus on interfaces, and ensuring completion through to delivery.
• Strong debugging skills across component boundaries and the ability to validate changes through code review, tests, and independent measurements, including using automated development tools.
• Excellent communication skills, especially in conveying evidence, uncertainty, and next steps with engineers and data users.
• Proficiency in Python and C++.

• Experience establishing telemetry conventions or schemas adopted by other teams.
• Background in storage, checkpointing, or data-loading performance.
• Expertise in crafting low-overhead event collection.
• Familiarity with network and collective-communication telemetry, including NCCL, NICs, and fabric counters.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 2, 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.