Senior AI Networking Software Engineer — Scale Benchmarks

NVIDIA; Washington (Washington County); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an AI Networking Software Developer to join a codesign-focused team, building production-ready networking frameworks and benchmarks for data centers and supercomputers. You will develop tools, integrate AI models, and analyze performance across hardware and software stacks.

The role emphasizes Python development, Linux CLI fluency, and the ability to learn across a broad stack from hardware to distributed AI systems. Equity and comprehensive benefits are provided.

Qualifications

• B.S./B.S. or M.S. in Computer Science or Software Engineering or equivalent experience.
• 5+ years of professional software development experience.
• Proficient in Python development with maintainable tooling.
• Solid Linux expertise; comfortable in CLI environments.
• Ability to work across a broad stack from hardware to large-scale AI systems.

Responsibilities

• Develop AI networking frameworks and production-grade applications for large-scale data centers.
• Create production tools and benchmarks used across multiple teams.
• Enable AI models within benchmarking infrastructure and analyze large workloads end-to-end.
• Design automation systems and large-scale parameter searches for optimal configurations.
• Collaborate with networking and hardware teams to co-design features and interfaces.

Skills

Python

Linux

Software development

Benchmarking

Distributed systems

Collaboration

Networking knowledge

Education

BSc/MSc CS

Tools

Slurm

Kubernetes

MPI

InfiniBand

Job description

NVIDIA is seeking an AI Networking Software Developer to join a codesign-focused team, building production-ready networking frameworks and benchmarks for data centers and supercomputers. You will develop tools, integrate AI models, and analyze performance across hardware and software stacks.

The role emphasizes Python development, Linux CLI fluency, and the ability to learn across a broad stack from hardware to distributed AI systems. Equity and comprehensive benefits are provided.