Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Software Engineer, AI Networking

NVIDIA

Software Engineer optimizing AI Networking tools for NVIDIA's next generation of large-scale AI systems. Focusing on machine learning techniques and performance optimization in diverse environments.

Posted 4/25/2026full-timeSanta Clara • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $124,000 - $195,500 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design and implement resource allocation and combinatorial optimization techniques to optimize LLM models at datacenter scale.
  • Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning training and inference on NVIDIA supercomputers and distributed systems.
  • Build and productionize ML-based tools for performance prediction and optimization with a strong emphasis on networking.
  • Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types.
  • Collaborate across hardware and software teams to deliver valuable performance analysis insights.
  • Lead performance test planning, establish performance targets for new technologies and solutions, and drive efforts to achieve those performance goals.

Requirements

What you’ll need
  • Master's degree in Computer Science, Software Engineering, or equivalent experience.
  • Experience applying machine learning techniques to computer architecture and system optimization problems.
  • Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning).
  • Proficiency in building and using ML models with leading frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces.
  • Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts.
  • Strong programming capabilities in Python, Bash, and C++.

Benefits

Comp & perks
  • Competitive salaries
  • Comprehensive benefits package

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
resource allocationcombinatorial optimizationAI/ML techniquesDeep Learningperformance predictiondata curation pipelinemachine learning techniquesreinforcement learningsupervised learningprogramming in Python
Soft Skills
collaborationleadershipperformance analysis
Certifications
Master's degree in Computer ScienceMaster's degree in Software Engineering