Senior System Software Engineer – Dynamo Tools

Overview

We are seeking a Senior System Software Engineer to own and advance the AI-Perf analysis, NVIDIA’s flagship framework for benchmarking, experimentation, and analysis of LLMs, Generative AI, and deep learning inference workloads. In this role, you’ll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally.

• Lead the design, development, and roadmap of AI-Perf, defining benchmarking methodologies, performance metrics, and reproducible experimental workflows.
• Build scalable and high-performance features to measure latency, throughput, and efficiency across AI models and distributed systems.
• Partner with AI researchers, platform teams, and engineers to translate experimental challenges into robust, user-friendly performance tooling.
• Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field—or equivalent experience.
• 3+ years of experience in systems software, distributed performance engineering, or AI infrastructure research.
• Expert-level Python skills, including profiling, optimization, automation, and debugging of complex systems.
• Deep knowledge of distributed systems concepts, including scalability, concurrency, fault tolerance, and performance trade-offs.

• Experience designing or maintaining performance benchmarking frameworks or tooling for AI/ML systems.
• Hands-on experience with LLMs and deep learning frameworks such as PyTorch, Tensor Flow, TensorRT, or ONNX Runtime.
• Contributions to open-source or research projects in AI performance, infrastructure, or distributed systems.
• Experience running large-scale inference experiments across cloud and on-prem environments (AWS, Azure, GCP, bare metal).

• Impact at scale:
  Your work will define how AI performance is measured, optimized, and understood by engineers and researchers worldwide.
• Innovation and ownership:
  Lead a critical tool used by internal teams and external partners, shaping the AI benchmarking ecosystem.
• Collaborative research environment:
  Work closely with world-class AI researchers, engineers, and platform architects on cutting-edge inference challenges.
• Visibility and growth:
  Contribute to tooling that powers publications, benchmarks, and industry-leading AI performance insights.

NVIDIA salary ranges vary by location and level. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We value diversity and do not discriminate 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.