Senior DL Systems Architect for High-Performance Datacenters

NVIDIA; Redmond (WA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is searching for a Deep Learning Systems Engineer in Redmond, WA, to analyze performance and power usage on datacenter-class hardware. The successful candidate will help develop analysis tools and contribute to optimizing architectures designed for AI technologies. This role requires a Bachelor's degree in Electrical Engineering or Computer Science, 8+ years of experience in relevant fields, and deep knowledge of computer system architecture. Equity and benefits are included, and the salary ranges from $184,000 to $356,500 depending on level.

Qualifications

• 8 years of relevant experience in system software or performance modeling.
• Demonstrated hands-on experience in computer system architecture.
• Ability to work in virtual environments and manage tasks from start to finish.

Responsibilities

• Develop software infrastructure to analyze deep learning applications.
• Evolve efficient datacenter architectures for Large Language Models.
• Create profiling tools in Python, Bash, and C++.

Skills

System Software

Performance Analysis

C/C++ Programming

Python Programming

Deep Learning Frameworks

Operating Systems

Education

Bachelor's degree in Electrical Engineering or Computer Science

Master's or PhD degree (preferred)

Tools

CUDA

Docker

Slurm

Job description

NVIDIA is searching for a Deep Learning Systems Engineer in Redmond, WA, to analyze performance and power usage on datacenter-class hardware. The successful candidate will help develop analysis tools and contribute to optimizing architectures designed for AI technologies. This role requires a Bachelor's degree in Electrical Engineering or Computer Science, 8+ years of experience in relevant fields, and deep knowledge of computer system architecture. Equity and benefits are included, and the salary ranges from $184,000 to $356,500 depending on level.