Senior Software Engineer, TensorRT-LLM

Posted 9 Days Ago
2 Locations
Remote
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize robust inferencing software for GPUs, perform analysis and tuning, and collaborate on AI-driven projects.
Summary Generated by Built In

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

NVIDIA is hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the “iPhone moment” for AI. Join the team which is building the inferencing 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.

What you'll be doing:

  • Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance

  • Performance analysis, optimization and tuning

  • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT

  • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams

What we need to see:

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

  • 2+ years of relevant software development experience.

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

  • Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models

  • Experience working with deep learning frameworks like TensorFlow and PyTorch

  • Proactive and able to work without supervision

  • 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

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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/C++
PyTorch
TensorFlow
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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.”

Similar Jobs

SharkNinja Logo SharkNinja

Fall 2025: SQA Automation Engineering Co-op (July through December)

Beauty • Robotics • Design • Appliances • Manufacturing
Easy Apply
Remote
United States
3600 Employees
Easy Apply
Remote
2 Locations
850 Employees

Capital One Logo Capital One

Senior Systems Administrator (Remote)

Fintech • Machine Learning • Payments • Software • Financial Services
Remote
Hybrid
2 Locations
55000 Employees
99K-124K Annually

Scratch Financial Logo Scratch Financial

QA Developer

Fintech • Financial Services
Remote
United States
134 Employees

Similar Companies Hiring

True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees
Caliola Engineering Thumbnail
Software • Machine Learning • Hardware • Defense • Data Privacy • App development • Aerospace
Colorado Springs, CO
53 Employees
Red 6 Thumbnail
Virtual Reality • Software • Hardware • Defense • Aerospace
Orlando, Florida
113 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account