Principal Software Engineer, TensorRT-LLM

at Nvidia
USD 272,000-425,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 8 Python @ 4 Hiring @ 4 Communication @ 4 Mathematics @ 4 Debugging @ 4 LLM @ 4 PyTorch @ 4

Details

NVIDIA is hiring an experienced Principal Software Engineer for its TensorRT-LLM team. This role focuses on building AI serving software foundational to NVIDIA's product lines and the broader AI industry. The candidate will work on a fast-paced team requiring excellent interpersonal skills and a track record of leading complex software architecture and products.

Responsibilities

  • Architect and guide development of robust inferencing software scalable across multiple platforms for performance and functionality
  • Perform performance analysis, optimization, and tuning
  • Stay current with advances in artificial intelligence and evolve code design accordingly
  • Collaborate across software, research, and product teams to guide AI Inferencing direction

Requirements

  • Bachelor's, Master’s or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing field (or equivalent experience)
  • 15+ years of relevant software development experience with 2+ years in architect or tech lead roles
  • Excellent programming and software design skills in Python or C/C++, including debugging, performance analysis, and test design
  • Strong understanding of Generative AI serving and latest deep learning developments such as LLMs
  • Experience with LLM inference frameworks like vLLM, SGLang
  • Experience with deep learning frameworks such as PyTorch, JAX
  • Excellent written and oral English communication skills

Benefits

  • Competitive base salary range from 272,000 USD to 425,500 USD, determined by location, experience, and peer pay
  • Eligibility for equity and additional benefits
  • Hybrid work model

NVIDIA values diversity and is an equal opportunity employer committed to fostering an inclusive work environment.