CUDA Deep Learning Performance Tools Engineer

NVIDIA; Seattle (WA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity opportunities

Comprehensive benefits package

Job summary

NVIDIA is seeking a Deep Learning Compiler & Tools Engineer focused on CUDA Tile. The role involves designing performance testing frameworks and automating pipelines to analyze AI workloads.

Successful candidates will hold a BS, MS, or PhD in relevant fields and have 5+ years of experience in software engineering and performance optimization. NVIDIA offers competitive salaries and comprehensive benefits.

Qualifications

• 5+ years of software engineering experience focused on performance.
• Strong programming skills in Python with understanding of C++.
• Experience working with deep learning frameworks like PyTorch or TensorFlow.

Responsibilities

• Design and develop performance testing frameworks for deep learning compilers.
• Build automated pipelines to track performance across models and systems.
• Analyze performance trends to identify bottlenecks and optimization opportunities.

Skills

Performance engineering

Benchmarking

Systems optimization

Python

C++

CI/CD systems

Deep learning frameworks

Data analysis

Education

BS, MS or PhD in Computer Science or related field

Job description

NVIDIA is seeking a Deep Learning Compiler & Tools Engineer focused on CUDA Tile. The role involves designing performance testing frameworks and automating pipelines to analyze AI workloads.

Successful candidates will hold a BS, MS, or PhD in relevant fields and have 5+ years of experience in software engineering and performance optimization. NVIDIA offers competitive salaries and comprehensive benefits.