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Nerf Machine Learning Jobs (NOW HIRING)

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

... machine learning, or computer vision * A drive to learn, grow, and take on challenging problems Ways to Stand Out from the Crowd: * Hands-on experience with neural rendering (NeRF, Gaussian splatting ...

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

... machine learning, or computer vision * A drive to learn, grow, and take on challenging problems Ways to Stand Out from the Crowd: * Hands-on experience with neural rendering (NeRF, Gaussian splatting ...

Waymo

Lead Technical Program Manager, Simulation

San Diego, CA · On-site +1

$137K - $177K/yr

Proven track record of managing complex technical programs involving the Machine Learning platforms ... NeRF, Gaussian Splatting, Diffusion, etc.) and reactive agent modeling * Developer Platforms

Waabi

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Nvidia

... Vision, Machine Learning, or a related field (or equivalent experience) with 12+ years of ... Experience with Gaussian Splatting, NeRF, differentiable rendering, rasterization, neural rendering ...

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Nerf Machine Learning information

What is the difference between Nerf Machine Learning vs Computer Vision Engineer?

AspectNerf Machine LearningComputer Vision Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learning frameworksDegree in Computer Science, Electrical Engineering, or related fields; experience with image processing and vision algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural rendering and 3D modelingTech companies, research institutions, industries involving image analysis and autonomous systems
Industry UsagePrimarily in AI research, neural rendering, 3D scene reconstructionIn autonomous vehicles, robotics, healthcare imaging, and security systems

While both roles involve advanced AI techniques, Nerf Machine Learning focuses on neural radiance fields and 3D scene understanding, whereas Computer Vision Engineers specialize in analyzing and interpreting visual data from images and videos. The roles often overlap in AI research but serve different application areas within the tech industry.

Is ML a high paying job?

Machine Learning (ML) jobs, including roles like ML engineer or data scientist, are generally considered high paying within the tech industry due to the specialized skills required, such as programming, statistics, and knowledge of ML frameworks. Salaries vary based on experience, location, and company size, but they tend to be above average compared to many other professions in technology.

How does a Nerf Machine Learning Engineer typically collaborate with 3D artists and graphics engineers in a project?

As a Nerf Machine Learning Engineer, you’ll frequently work alongside 3D artists and graphics engineers to integrate neural radiance field (NeRF) models into real-time rendering pipelines. Collaboration often involves translating real-world scene data processed by NeRF into formats that can be manipulated by artists, as well as optimizing model performance for interactive applications. Regular meetings and iterative feedback ensure that visual quality and technical requirements align, making strong communication and flexibility essential for success in this role.

What are the key skills and qualifications needed to thrive as a NeRF (Neural Radiance Fields) Machine Learning Engineer, and why are they important?

To thrive as a NeRF Machine Learning Engineer, you need a strong background in computer vision, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Proficiency with Python, PyTorch or TensorFlow, 3D graphics libraries, and familiarity with NeRF-specific frameworks is essential. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this field. These skills enable the development of advanced 3D scene reconstruction models and ensure efficient collaboration within multidisciplinary teams.

What are Nerf Machine Learning jobs?

Nerf Machine Learning jobs involve working with Neural Radiance Fields (NeRF), a type of machine learning model used for 3D scene reconstruction from 2D images. Professionals in this field develop, train, and optimize NeRF algorithms to create realistic 3D representations for applications in computer vision, graphics, virtual reality, and robotics. These roles typically require strong backgrounds in deep learning, computer vision, and software engineering, along with experience in frameworks like PyTorch or TensorFlow.

Will MLE be replaced by AI?

In the context of Nerf Machine Learning roles, machine learning engineers (MLEs) focus on developing and deploying models, which AI systems can automate or enhance. While AI tools can assist MLEs in tasks like data preprocessing and model tuning, human expertise remains essential for designing, interpreting, and maintaining complex models. Therefore, AI is more likely to augment rather than fully replace MLEs in the foreseeable future.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, or AI Software Developer. These jobs typically require knowledge of programming languages like Python, experience with machine learning frameworks, and understanding of algorithms and data analysis. They are common in technology companies, research institutions, and industries adopting AI solutions.

What is nerf deep learning?

Nerf deep learning refers to the application of neural network models to Neural Radiance Fields (NeRF), a technique used to generate 3D scenes from 2D images. In a machine learning context, it involves training models to synthesize realistic 3D representations, often requiring skills in computer vision, 3D modeling, and deep learning frameworks like TensorFlow or PyTorch.
More about Nerf Machine Learning jobs
What cities are hiring for Nerf Machine Learning jobs? Cities with the most Nerf Machine Learning job openings:
What states have the most Nerf Machine Learning jobs? States with the most job openings for Nerf Machine Learning jobs include:
What job categories do people searching Nerf Machine Learning jobs look for? The top searched job categories for Nerf Machine Learning jobs are:
Nerf Machine Learning jobs near you
Neural Graphics Engineer

Neural Graphics Engineer

NVIDIA Corporation

Santa Clara, CA • On-site

$163K - $201K/yr

Other

Re-posted 17 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Computer graphics is experiencing its most exciting transformation in decades. Neural techniques are reshaping how we render, simulate, and create visual content in real time - and we're just getting started.
At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms like Slang, our shader language and compiler for portable GPU programming. We work on hard, meaningful problems with curiosity and collaboration - and we're looking for a Neural Graphics Engineer to grow with us. This is an opportunity to learn from some of the most accomplished people in graphics and AI, and to make a meaningful impact early in your career!
What You'll Be Doing:
  • Implement and optimize neural graphics techniques within real-time rendering pipelines
  • Prototype neural rendering, differentiable graphics, and generative 3D approaches
  • Collaborate across teams to move ideas from concept to production
  • Contribute to our graphics software stack, including compilers, shaders, and runtime tools
What We Need to See:
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent experience)
  • At least 2-4 years od practical experience and demonstrated ability in C++ and Python
  • Coursework or project experience in computer graphics, machine learning, or computer vision
  • A drive to learn, grow, and take on challenging problems
Ways to Stand Out from the Crowd:
  • Hands-on experience with neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D content
  • Experience with PyTorch and real-time rendering engines
  • Familiarity with graphics APIs (Vulkan, OpenGL, DirectX), shader programming (Slang, HLSL, GLSL), or compiler development
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until February 27, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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