Senior AI Infrastructure Performance Engineer

NVIDIA; Schweiz; On-site; CHF 170,000 - 250,000; Full time

Job summary

NVIDIA in Switzerland is seeking a Performance Engineer to characterize workloads, establish baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape DGX Cloud systems and raise the performance and reliability of AI workloads.

Collaborate with deep learning engineers, platform teams, and GPU architects to validate improvements, design evaluation methodologies, and communicate findings to influence system and software design decisions.

Qualifications

• BS or higher degree in computer science, computer engineering, or a related field, with 12+ years of experience.
• Strong programming skills in C++ and Python, with the 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 rigorous 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.

Skills

C++

Python

Operating systems

Distributed systems

Performance engineering

Benchmarking

Profiling

Optimization

Cross-team communication

Education

BS or higher in CS/CE or related field

Tools

CUDA

PyTorch

JAX/XLA

Job description

NVIDIA in Switzerland is seeking a Performance Engineer to characterize workloads, establish baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape DGX Cloud systems and raise the performance and reliability of AI workloads.

Collaborate with deep learning engineers, platform teams, and GPU architects to validate improvements, design evaluation methodologies, and communicate findings to influence system and software design decisions.