Senior Software Engineer, Deep Learning Inference - TensorRT

Reposted 21 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize deep learning inference software, working with NVIDIA's TensorRT SDK and collaborating with experts across teams.
Summary Generated by Built In

We are now looking for a Senior Software Engineer for Deep Learning Inference! Would you like to make a big impact in Deep Learning by helping build a state-of-the-art inference framework for accelerating Deep Learning models, especially Large Language Models, on NVIDIA GPUs? We are now welcoming exceptional software engineers to apply to Senior Engineering positions in the Deep Learning Inference TensorRT software team.

What you’ll be doing:

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

  • Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.

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

  • Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.

  • Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams.

What we need to see:

  • A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.

  • 3+ years of software development experience.

  • Strong experience with the latest C++ standardsC++11/C++14/C++17/C++20, etc..

  • Strong grasp of Machine Learning concepts.

  • Experience and knowledge in Computer Architecture, Data Structures, Algorithms.

  • Excellent communication skills, and an aptitude for collaboration and teamwork.

Ways to stand out from the crowd:

  • Experience developing System Software.

  • Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL.

  • Experience in software performance benchmarking, profiling, and optimizations.

  • Background in compiler development

  • Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our TensorRT Workflows team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 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.

Skills Required

  • Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field
  • 3+ years of software development experience
  • Strong experience with the latest C++ standards (C++11/C++14/C++17/C++20, etc.)
  • Strong grasp of Machine Learning concepts
  • Experience and knowledge in Computer Architecture, Data Structures, Algorithms
  • Excellent communication skills, and an aptitude for collaboration and teamwork

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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