Senior Performance Engineer - DGX Cloud
NVIDIA Corporation (company site, opens in a new tab)12+ yrsBengaluru, HyderabadOn-siteDirect career pageEst. 50–90 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Analyze and optimize end-to-end performance of large-scale AI workloads spanning compute, network, storage, and software.
- Establish performance baselines, diagnose bottlenecks, and design performance evaluation methodologies and benchmarks.
- Collaborate with cross-functional teams to validate and implement performance improvements impacting scalable DGX Cloud systems.
Minimum Requirements
- Bachelor's degree or higher in Computer Science, Computer Engineering, or related field (or equivalent experience).
- 12+ years of professional experience with strong programming skills in C++ and Python relevant to analysis and automation workflows.
- Solid understanding of operating systems, computer architecture, distributed systems, and experience in performance engineering, benchmarking, profiling, and optimization.
- Work Experience Required: Minimum 12 years in relevant fields.
Ideal Candidate Profile
- Experience analyzing performance on large-scale AI clusters or distributed training and inference workloads.
- Proficient in GPU computing, CUDA, and GPU performance analysis techniques.
- Familiarity with deep learning frameworks such as PyTorch or JAX/XLA and skilled in system-level workload characterization and optimization.