Senior Performance Engineer - DGX Cloud
NVIDIA Corporation (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 55–95 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
- Design and execute performance studies to establish baselines, diagnose regressions, and identify bottlenecks, then drive optimizations through to deployment.
- Collaborate with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements and influence system/software design decisions.
Minimum Requirements
- Bachelor's degree or higher in Computer Science, Computer Engineering, or related field (or equivalent experience).
- 12+ years of experience programming in C++ and Python with ability to create reliable analysis and automation workflows.
- Experience in operating systems, computer architecture, distributed systems, and performance engineering including benchmarking, profiling, and optimization of complex software or systems.
- Ability to communicate technical analysis and prioritize impactful work across teams.
Ideal Candidate Profile
- Experienced with large-scale AI clusters or distributed training/inference workloads.
- Familiarity with CUDA, GPU computing systems, and GPU performance analysis.
- Hands-on with deep learning frameworks such as PyTorch or JAX/XLA and advanced system-level workload characterization and optimization.