
Senior AI DL Workload and Performance Analysis Engineer
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Hyderabad • India
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Job Level
Tech Stack
About the role
- Develop AI performance tools for large scale AI systems providing real time insight into applications performance and system bottlenecks.
- Conduct in-depth hardware-software performance studies
- Define performance and efficiency evaluation methodologies
- Automate performance data analysis and visualization to convert profiling data into actionable optimizations
- Support deep learning software engineers and GPU architects in their performance analysis efforts
- Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis
Requirements
- Minimum of 8+ years of experience in software infrastructure and tools
- BS or higher degree in computer science or similar (or equivalent experience)
- Adept programming skills in multiple languages including C++ and Python
- Solid foundation in operating systems and computer architecture
- Outstanding ability to understand users, prioritize among many contending requests, and build consensus
- Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members
- Experience in working with the large scale AI cluster
- Experience with CUDA and GPU computing systems
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.)
- Deep understanding of the software performance analysis and optimization process.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
C++PythonCUDAGPU computingTensorFlowPyTorchJAXperformance analysisoptimizationoperating systems
Soft skills
understanding usersprioritizationbuilding consensusautomationeliminating repetitive tasksteam collaboration
Certifications
BS in computer science