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Graph Neural Network Jobs (NOW HIRING)

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

Burlingame, CA · On-site +1

$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 ...

AI Compiler Engineer

$195K - $265K/yr

Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. * Develop compiler optimizations and passes that convert high ...

AI Compiler Engineer

$195K - $265K/yr

Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. * Develop compiler optimizations and passes that convert high ...

... neural network workloads map onto future NVIDIA platforms. This is your chance to be part of ... Prototype and evaluate new compilation and runtime techniques, including graph transformations ...

Lead AI Infrastructure Engineer

Austin, TX · On-site

$101K - $133K/yr

The vast part of the execution graph is implemented as a chain of neural network operations. The onboard mode relies on stable latencies of the inference of those networks, while in simulation we ...

Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...

Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...

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How much do graph neural network jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for graph neural network in the United States is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $29.09 per hour, depending on experience, location, and employer.

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 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 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.

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Infographic showing various Graph Neural Network job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 11% Part Time, and 7% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $55,420 per year, or $26.6 per hour.

Deep Learning Compiler Engineer

Burlingame, CA • Remote

quadric, Inc
Semiconductor and Electronic Component Manufacturing • 11 - 50 employees

$110K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. 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++ DSP and control code.

Role

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.


Responsibilities
  • Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
  • Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
  • Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

  • MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
  • Strong background in numerical and/or algorithmic optimization
  • Understanding of building application-appropriate heuristics for NP-hard problems
  • Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
  • Strong background in graphs and related algorithms
Nice to haves
  • Proficiency in C++ >= 11
  • Experience using / developing in TVM
  • Knowledge of front-end and back-end compiler techniques

Expected Outcomes in 12 months
  • Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
  • Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space. 

  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual) to support work-life balance
  • When working in-office, enjoy company-provided lunches and a stocked kitchen
  • Convenient office location within walking distance of the Caltrain station
  • Support for commuting, including monthly parking or Caltrain passes
  • Downtown Burlingame office location, close to shops, cafes, and local amenities
  • A politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact
  • The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence

The base salary range for this position is $110,000 to $270,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level. 

Quadric also offers the generous benefits package outlined above and other programs designed to support your health and wellbeing.

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.

By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.


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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

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