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 180,000 USD - 339,250 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.
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.”
 (1).png)
