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Graph Neural Network Jobs in California (NOW HIRING)

AI Inference Engineer

Burlingame, CA ยท On-site

$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 ...

Full-Stack Software Engineer

Burlingame, CA ยท On-site

$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 ...

Full-Stack Software Engineer

Burlingame, CA ยท On-site

$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 Applications Engineer

Burlingame, CA ยท On-site

$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 ...

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

Burlingame, CA ยท On-site

$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 ...

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

Burlingame, CA ยท On-site

$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 ...

Sr. Security Data Scientist

Sunnyvale, CA ยท On-site

$170K - $196K/yr

This graph enables essential functions such as breach risk detection, network segmentation ... Investigate cutting-edge techniques for graph-based threat detection, like graph neural networks or ...

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Showing results 1-20

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 job?

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:
AI Inference Engineer

AI Inference Engineer

quadric, Inc

Burlingame, CA โ€ข On-site

$110K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 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

The AI Inference Engineer in Quadric is the key bridge between the world of AI/LLM models and Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI models to Quadric platform; [2] optimize the model deployment for efficient inference; [3] profile and benchmark the model performance. This senior technical role demands deep knowledge of AI model algorithms, system architecture and AI toolchains/frameworks.

This California Bay Area based role follows a hybrid schedule, with at least two in-office days per week at our Burlingame office, the ability to commute regularly, and occasional additional onsite days as needed based on team and business priorities. The team and company also gather periodically for onsite meetings and offsite events, which are valued opportunities to connect, collaborate, and align.

Responsibilities
  • Quantize, prune and convert models for deployment
  • Port models to Quadric platform using Quadric toolchain
  • Optimize inference deployment for latency, speed
  • Benchmark and profile model performance and accuracy
  • Collaborate across related areas of the AI inference stack to support team and business priorities
  • Develop tools to scale and speed up the deployment
  • Make Improvement to SDK and runtime
  • Provide technical support and documents to customers and developer community

Requirements

  • Bachelorโ€™s or Masterโ€™s in Computer Science and/or Electric Engineering.
  • 5+ years of experience in AI/LLM model inference and deployment frameworks/tools
  • experience with model quantization (PTQ, QAT) and tools
  • experience with model accuracy measures
  • experience with model inference performance profiling
  • experience with at least one of the following frameworks: onnxruntime, Pytorch, vLLM, huggingface-transformer, neural-compressor, llamacpp
  • Proficiency in C/C++ and Python
  • Demonstrate good capability in problem solving, debug and communication

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 plans 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 worldโ€™s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrowโ€™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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