NVIDIA
AI workload optimization
SeniorSoftwareEngineer,AIPerformanceAnalysis
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, AI Performance Analysis at NVIDIA. Skills: AI performance analysis, tool development, workflow automation. Design and build performance analysis tools and workflows for AI training and inference workloads. Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling”
What You'll Achieve.
automate and optimize performance analysis workflows for AI training and inference workloads; push these boundaries even further
Industry & Context.
Identify performance bottlenecks; develop automated approaches to detect and diagnose them
What They're Looking For.
Must Have
M. S. , or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience), 6+ years of relevant work experience, Deep knowledge of AI workloads, frameworks, and performance characteristics, Experience building tools, workflows, or infrastructure used by other engineers, software development skills (Python, C++ preferred), Ability to translate user requirements into scalable tooling solutions, Up to date with AI-enabled tooling for software development and performance analysis, interpersonal skills for understanding engineer difficulties and working across multi-functional teams
Nice to Have
Experience profiling or optimizing AI training or inference pipelines at scale, Background building developer tools or platforms for ML engineers, Contributions to open-source AI tooling or frameworks
What You'll Do.
Design and build performance analysis tools and workflows for AI training and inference workloads
Understand how AI performance engineers work and translate their needs into scalable
Develop integrations between profiling infrastructure and AI frameworks and workflows
Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them
How You'll Work.
Team & Collaboration
Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads; working across multi-functional teams
Full Job Description
NVIDIA GPU Architecture Group is seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will not only perform analysis but also reshape how it's done, building tools and workflows that scale across a broad audience of engineers. NVIDIA is a world-class leader in AI workload optimization, and your work will push these boundaries even further! **What you 'll be doing:** * Design and build performance analysis tools and workflows for AI training and inference workloads. * Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling. * Develop integrations between profiling infrastructure and AI frameworks and workflows. * Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads. * Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them. **What we need to see:** * M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience). 6+ years of relevant work experience * Deep knowledge of AI workloads, frameworks, and performance characteristics. * Experience building tools, workflows, or infrastructure used by other engineers. * Strong software development skills (Python, C++ preferred). * Ability to translate user requirements into scalable tooling solutions. * Up to date with AI-enabled tooling for software development and performance analysis. * Strong interpersonal skills for understanding engineer difficulties and working across multi-functional teams. **Ways to stand out from the crowd:** * Experience profiling or optimizing AI training or inference pipelines at scale * Background building developer tools or platforms for ML engineers * Contributions to open-source AI tooling or frameworks Your base salary will be determined based on your location, experience, and th
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