Solution Architect – Accelerated Computing Libraries

NVIDIA

Competitive salaries; generous benefits pyckage; n...
5+ years technology industry experience
Master's degree in computer science or related field
Strong python/c/c++ programming skills
The role focuses on designing AI computing platforms and solving computational challenges in LLM inference and training acceleration

Job Summary

  • The role focuses on designing AI computing platforms and solving computational challenges in LLM inference and training acceleration.
  • Candidates will drive the adoption of NVIDIA libraries by collaborating with customers, local field teams, and global product teams.
  • NVIDIA offers competitive salaries, a generous benefits package, and opportunities to work with forward-thinking engineering teams.

Matching Summary

Match Score: 75

The role focuses on designing AI computing platforms and solving computational challenges in LLM inference and training acceleration.

Salary

Competitive salaries; Generous benefits package; Not specified

Skills & Requirements

Must-have

  • 5+ years technology industry experience
  • Master's degree in Computer Science or related field
  • Strong Python/C/C++ programming skills
  • Experience with GPU computing and AI software stacks
  • Fluency in English and Chinese

Nice-to-have

  • Hands-on experience with CUDA and NVIDIA libraries
  • Background in high-performance computing
  • Contributions to open-source projects
  • Experience with performance benchmarking and tuning
  • Public speaking or technical blogging experience

Key Requirements

  • Master's degree in Computer Science, Mathematics, or Electrical Engineering
  • 5+ years of experience as a Solutions Architect or similar role
  • Proficiency in written and spoken English and Chinese

Work Rights

Not specified

Tailored Resume

Cover Letter