Senior Software Engineer, Deep Learning Inference - New HW Enablement

Reposted 9 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage integration of new hardware into TensorRT, improve functionality and performance, design robust C++ code, and enhance software practices.
Summary Generated by Built In

Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology? Join NVIDIA’s TensorRT team as a Senior Software Engineer, and be at the forefront of technology, enabling support in TensorRT for an evolving landscape of ground-breaking hardware capabilities. Your expertise will help shape the performance and functionality of our products, ensuring NVIDIA remains synonymous with innovation. If you're ready to tackle challenging projects, push the boundaries of AI, and make a significant impact in a company that values creativity, excellence, and teamwork, we want to hear from you!

What you'll be doing:

  • Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime.

  • Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to improve TensorRT’s functionality and performance.

  • Guide the design and implementation of robust, high-quality C++ code in alignment with Modern C++ standards.

  • Contribute to the continuous improvement of software practices and processes within the team.

What we need to see:

  • Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI).

  • At least 8 years of relevant software development experience.

  • Strong C++ skills, including knowledge of and application of best practices with C++11 and C++14.

  • Familiarity with deep learning concepts and frameworks.

  • A track record of taking initiative and driving projects to completion.

  • Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems.

Ways to stand out from the crowd:

  • Proficiency with Python and/or CUDA, ideally with experience in a professional environment.

  • Background with systems programming, embedded systems, and/or compiler development.

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

  • Experience with state-of-the-art deep learning models (such as Large Language Models) & frameworks for inference.

  • Background with C++17.

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, come join our team!

#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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 2025.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++
Cuda
Deep Learning
Python
Tensorrt
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
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

Dscout Logo Dscout

Director, Software Engineering

Enterprise Web • Mobile • Professional Services • Software
Easy Apply
Remote
USA
180 Employees

FloQast Logo FloQast

Marketing Manager

Artificial Intelligence • Fintech • Software
Remote
United States
800 Employees
91K-137K Annually

Grammarly Logo Grammarly

Designer

Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Easy Apply
Remote or Hybrid
3 Locations
1500 Employees
210K-250K Annually

Affirm Logo Affirm

Senior Strategic Alliance & Partnerships Manager

Big Data • Fintech • Mobile • Payments • Financial Services
Easy Apply
Remote
United States
2200 Employees
213K-262K Annually

Similar Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account