Principal Software Engineer, TensorRT-LLM

Reposted 8 Hours Ago
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Hiring Remotely in Santa Clara, CA
In-Office or Remote
272K-426K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Principal Software Engineer will architect and develop inferencing software for AI applications, perform performance analysis, and collaborate across teams to guide AI inferencing directions.
Summary Generated by Built In

We are now looking for a Principal Software Engineer, TensorRT-LLM !

NVIDIA is hiring experienced principal software engineer for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in areas like content creation, code generation and information synthesis, that have put AI on the precipice of an “iPhone moment”. Join the team building the AI serving software which is foundational to product lines within NVIDIA and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must. A track record of leading complex software architecture and successful products is highly desired.

What you'll be doing:

  • Architecting and guiding development of robust inferencing software that can be scaled to multiple platforms for functionality and performance

  • Performance analysis, optimization and tuning

  • Closely follow developments in the field of artificial intelligence, and evolve the code design to keep pace

  • Collaborate across the company to guide the direction of AI Inferencing, working with software, research and product teams

What we need to see:

  • Bachelors, Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)

  • 15+ years of relevant software development experience and 2+ years in an architect/tech lead role.

  • Excellent Python or C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong understanding of GenAI serving, awareness of the latest developments in deep learning like LLMs

  • Experience working with LLM inference frameworks like vLLM, SGLang, etc.

  • Experience working with deep learning frameworks like PyTorch, JAX, etc.

  • Excellent written and oral communication skills in English

NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
Deep Learning Frameworks
Jax
Llm Inference Frameworks
Python
PyTorch
Sglang
Vllm
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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