Senior System Software Engineer

Job Summary

Owning and advancing the AI-Perf analysis framework, the full-time Senior System Software Engineer will lead the design and development of benchmarking methodologies and performance metrics, collaborating with researchers and engineers in a remote or onsite environment.

Key responsibilities

• Lead the design, development, and roadmap of AI-Perf, defining benchmarking methodologies and reproducible experimental workflows
• Build scalable and high-performance features to measure latency, throughput, and efficiency across AI models and distributed systems
• Integrate AI-Perf with various NVIDIA inference stacks and open-source frameworks, delivering end-to-end performance insights

Required qualifications

• 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