NVIDIA
Technology
SoftwareEngineer,GPUPerformanceTools
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, GPU Performance Tools at NVIDIA. Skills: GPU performance tools, Profiling capabilities, Performance analysis. Build innovative features. Incorporate new hardware profiling capabilities”
Industry & Context.
Engineering judgment
What They're Looking For.
Must Have
3 years experience writing production software, Python and C++ experience, Foundation in computer architecture, Foundation in performance analysis, Experience in parallel programming, Experience in accelerated computing, Track record building tools for engineers, Up to date with software engineering practices
Nice to Have
Contributions to open-source performance analysis tooling, User or creator of CPU profiling tools, User or creator of GPU profiling tools, Experience in GPU computing, Experience in accelerated computing platforms, Building software tools on hardware capabilities, Familiarity with AI workloads, Familiarity with AI workload performance characteristics
What You'll Do.
Build innovative features
Incorporate new hardware profiling capabilities
Collaborate with architects
Collaborate with performance engineers
Collaborate with software teams
How You'll Work.
Team & Collaboration
With architects; With performance engineers; With software teams
Full Job Description
NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling capabilities on the next-generation hardware. In this role, you will get to reshape how engineers understand and optimize the world's most advanced GPUs. If you want the freedom to take features from concept through implementation while applying critical thinking and engineering judgment, this is the role for you! ****What you 'll be doing:**** * Build innovative features for NVIDIA's GPU profiling tools from inception to execution * Incorporate new hardware profiling capabilities into tools and workflows * Work independently based on high-level requirements, filling in build details and making sound engineering decisions * Collaborate with architects, performance engineers, and other software teams to understand requirements and deliver solutions * Improve and maintain a large, evolving codebase with high standards for quality and reliability ****What we need to see :**** * B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience) * 3 years or more experience writing production software in Python and C++ * Proven foundation in computer architecture and performance analysis * Experience in parallel programming or accelerated computing * Track record of building tools or infrastructure for other engineers, with a strong sense of what makes a great developer experience * Up to date with the latest software engineering practices including AI-enabled development tooling ****Ways to stand out from the crowd:**** * Contributions to open-source performance analysis tooling * Experience as a user or creator of CPU or GPU profiling tools * Experience in GPU computing or accelerated computing platforms * Background with building software tools on top of hardware capabilities * Familiarity with AI workloads and their performance cha
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