AI Systems Performance Engineer for DGX Cloud

NVIDIA

United Kingdom

On-site

GBP 110,000 - 150,000

Full time

14 days+

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Job summary

NVIDIA is seeking a Performance Engineer to characterize workloads and drive optimizations for DGX Cloud AI efficiency. You will establish baselines, diagnose bottlenecks, and translate measurements into actionable engineering improvements across GPUs, networking, storage, and software stacks.

Collaboration with DL engineers and platform teams is essential. You will shape scalable DGX Cloud systems, turning complex data into prioritized decisions that raise performance and reliability of AI

Qualifications

BS or higher in computer science, computer engineering, or related field, with 12+ years of experience.
Strong programming skills in C++ and Python, with ability to build reliable analysis and automation workflows.
Solid foundation in operating systems, computer architecture, and distributed systems.
Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams.

Responsibilities

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 quantify bottlenecks.
Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.
Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.
Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.