Senior Machine Learning Engineer

Overview

On Site
USD 224,000.00 - 356,500.00 per year
Full Time

Skills

Machine Learning (ML)
Robotics
Innovation
4G
Video Games
Computer Hardware
Collaboration
GPU
Computer Science
Computer Graphics
Algorithms
Deep Learning
PyTorch
C
C++
Training
Generative Artificial Intelligence (AI)
Computer Vision
3D Computer Graphics
Real-time
Artificial Intelligence
Video
Research
Debugging
Recruiting
Promotions
SAP BASIS
Law

Job Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Redefine the future of gaming with generative AI.

We are searching for outstanding software engineers to expand the AI for Graphics (AI4G) team, where you will invent and productize generative AI technologies for future games and interactive experiences. Our team has a track-record of building novel immersive AI-powered experiences for video games, and spans a wide range of backgrounds like gaming, generative AI, application and system development, and hardware architecture.

What you'll be doing:

As a member of our team, you will apply and extend ground breaking technologies in the areas of image and video generation, AI world models, and real-time computer graphics. You will collaborate with AI researchers and graphics leaders across the company, as well as external partners like leading video game studios. Your work output will bring new experiences to gamers and creators, influence industry-wide APIs and systems, and shape future generations of GPU architectures.

What we need to see:
  • Bachelors degree (or equivalent experience) or higher degree in Computer Science/Engineering or similar field
  • 12+ years of proven experience in deep learning, computer vision, computer graphics, or related fields.
  • Demonstrated background in algorithms and deep learning methods
  • Strong programming skills in Pytorch and C/C++
  • Experience working with distributed training, post-training, or inference pipelines for generative AI
  • Experience building real-world computer vision, AI, or graphics systems

Ways to stand out from the crowd:
  • Strong interest and background in AI-powered 3D graphics (e.g. real-time image enhancement, diffusion models, gaussian splatting, NeRFs )
  • Working experience in creating AI solutions for image or video generation tasks
  • Proven experience in working across the stack (from research to product deployment)
  • Ability to think creatively to debug and solve complex, hard to reproduce problems
  • A self-motivated and collaborative approach to problems, and phenomenal interpersonal skills

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family ;br>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 27, 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.
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