We are building a next-generation software platform for semiconductor design, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious ...
We are building a next-generation software platform for semiconductor design, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious ...
Senior Software Development Engineer, Neural Graph Infrastructure
Santa Clara, CA · On-site
$143K - $189K/yr
We are building a next-generation software platform for semiconductor design, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious ...
Senior Software Development Engineer, Neural Graph Infrastructure
Santa Clara, CA · On-site
$143K - $189K/yr
We are building a next-generation software platform for semiconductor design, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious ...
Staff Machine Learning Engineer, Applied Research
San Francisco, CA · On-site +1
$241K/yr
... graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems. What you'll do: * Contribute to cutting-edge research in machine learning and LLM ...
New
Staff Machine Learning Engineer, Applied Research
San Francisco, CA · On-site +1
$241K/yr
... graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems. What you'll do: * Contribute to cutting-edge research in machine learning and LLM ...
New
Senior/Principal AI Engineer
Pleasanton, CA · On-site
$139K - $192K/yr
... and/or graph neural network models for real-world use cases * 6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...
Senior/Principal AI Engineer
Pleasanton, CA · On-site
$139K - $192K/yr
... and/or graph neural network models for real-world use cases * 6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...
Extensive knowledge of deep learning on image processing including convolutional neural network, transformer neural network, graph neural network * Experience in GPU programming using CUDA or OpenCL
Extensive knowledge of deep learning on image processing including convolutional neural network, transformer neural network, graph neural network * Experience in GPU programming using CUDA or OpenCL
Senior/Principal AI Engineer
Pleasanton, CA · On-site
$139K - $192K/yr
... and/or graph neural network models for real-world use cases * 6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...
Senior/Principal AI Engineer
Pleasanton, CA · On-site
$139K - $192K/yr
... and/or graph neural network models for real-world use cases * 6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...
Extensive knowledge of deep learning on image processing including convolutional neural network, transformer neural network, graph neural network * Experience in GPU programming using CUDA or OpenCL
Extensive knowledge of deep learning on image processing including convolutional neural network, transformer neural network, graph neural network * Experience in GPU programming using CUDA or OpenCL
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
... NN graph code and conventional C++ DSP and control code. The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
... NN graph code and conventional C++ DSP and control code. The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
... NN graph code and conventional C++ DSP and control code. The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models ...
Deep Learning Compiler Engineer (New Grad)
Burlingame, CA · On-site
$120K - $160K/yr
... NN graph code and conventional C++ DSP and control code. The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models ...
... scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud ... text, network/graph data, and third-party identity signals. • Demonstrated ability to drive ...
... scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud ... text, network/graph data, and third-party identity signals. • Demonstrated ability to drive ...
We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ...
We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ...
We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ...
We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ...
... scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud ... text, network/graph data, and third-party identity signals. • Demonstrated ability to drive ...
... scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud ... text, network/graph data, and third-party identity signals. • Demonstrated ability to drive ...
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Quick apply
AI Kernel Engineer Intern - Kernel Optimization
Burlingame, CA · On-site
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Head of Data Science - Identity & Compliance
San Francisco, CA · On-site
$250K - $300K/yr
Drive the development of graph-based intelligence , including large-scale graph neural networks ... text, network/graph data, and third-party identity signals. * Demonstrated ability to drive ...
Head of Data Science - Identity & Compliance
San Francisco, CA · On-site
$250K - $300K/yr
Drive the development of graph-based intelligence , including large-scale graph neural networks ... text, network/graph data, and third-party identity signals. * Demonstrated ability to drive ...
Design Verification Intern
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Design Verification Intern
$45 - $60/hr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Deep Learning Compiler Engineer
$110K - $270K/yr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Deep Learning Compiler Engineer
$110K - $270K/yr
Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C ...
Graph Neural Network information
What are the key skills and qualifications needed to thrive in the graph neural network position, and why are they important?
To excel as a Graph Neural Network Engineer, you need a strong background in machine learning, graph theory, neural networks, and proficiency in programming languages such as Python. Familiarity with deep learning frameworks like PyTorch or TensorFlow, and experience with specialized libraries such as DGL or PyTorch Geometric are highly valued. Excellent problem-solving skills, teamwork, and the ability to communicate complex concepts to both technical and non-technical stakeholders will help you stand out. These combined abilities enable professionals to design, implement, and deploy cutting-edge GNN models that address complex, real-world data-structure challenges across various industries.
What does a typical project workflow look like for a graph neural network engineer?
A typical project workflow for a Graph Neural Network Engineer involves collaborating with data scientists and domain experts to understand the problem, preprocessing and visualizing graph-structured data, and selecting appropriate model architectures. The role often includes building, training, and evaluating GNN models, iterating on hyperparameters, and deploying models to production environments. Throughout the process, you will engage in code reviews, document findings, and present results to stakeholders. Teamwork and effective communication are essential, as projects frequently require close collaboration with researchers, software engineers, and business units to ensure solutions meet practical needs and performance goals.
What is a graph neural network?
A Graph Neural Network (GNN) job typically involves designing, implementing, and optimizing neural network models that operate on graph-structured data. Professionals in this role apply GNNs to tasks like recommendation systems, fraud detection, social network analysis, and molecular property prediction. Responsibilities often include data preprocessing, model architecture selection, training, evaluation, and deployment. Strong knowledge of machine learning, deep learning frameworks (such as PyTorch or TensorFlow), and graph theory is essential.
What are popular job titles related to Graph Neural Network jobs in California? For Graph Neural Network jobs in California, the most frequently searched job titles are:
What job categories do people searching Graph Neural Network jobs in California look for? The top searched job categories for Graph Neural Network jobs in California are:
What cities in California are hiring for Graph Neural Network jobs? Cities in California with the most Graph Neural Network job openings:
$143K - $189K/yr
Full-time
Re-posted 14 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 241 rated software companies
Job description
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.
Join NVIDIA's CAD Infrastructure team and be part of something outstanding! We are building a next-generation software platform for semiconductor design, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious endeavor, and we need engineers who thrive in a hands-on environment, ready to contribute to every phase from architecture to implementation. This role will allow you to compose the future of computing and make a lasting impact on the world!
What you'll be doing:
Architecting highly automated and customizable flows using modular builds and object-oriented techniques.
Collaborating with architects and designers during active spec development to identify integration gaps and keep workstreams aligned.
Building event-driven data preprocessing pipelines for large-scale graph data.
Developing tools and user interfaces in C++ and Python tailored for complex engineering workflows.
Engaging cross-functionally with VLSI organizations to anticipate future challenges and build solutions.
What we need to see:
8+ years of relevant software engineering experience.
BS or MS in Computer Science or Computer Engineering, or equivalent experience.
Practical experience in C++ and Python programming.
Strong foundations in software building, algorithms, and data structures.
Proficiency in software architecture: you've built systems, not just contributed to them.
Strong communication skills and comfort working across fields during an evolving development cycle.
Ways to stand out from the crowd:
Background in graph-scale data infrastructure or GNN-based systems.
Exposure to ML or agentic tooling, particularly LLM-based code generation.
Familiarity with EDA or VLSI build environments.
Experience exposing software toolchains to AI agents or building developer-facing AI interfaces.
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 www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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