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Graph Neural Network Jobs in Texas (NOW HIRING)

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Neurophos

Lead Compiler Engineer

Austin, TX · On-site

$101.60K - $133.80K/yr

... graph transformations, and lowering passes • Optimize computational graphs and memory access ... neural network optimization Company : Neurophos develops photonic AI processing technology that ...

Neurophos Inc

Lead Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

... neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom backend development * Graph Theory: Graph ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...

Neuralink

Software Engineer, CI/CD

Austin, TX · Remote

... need solid systems, rugged networking, and bullet-proof software to do their jobs. Job ... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ...

Neuralink

Software Engineer, CI/CD

Austin, TX · On-site

$123K - $216K/yr

... need solid systems, rugged networking, and bullet-proof software to do their jobs. Job ... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ...

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Graph Neural Network information

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 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.
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Graph Neural Network jobs near you
Infographic showing various Graph Neural Network job openings in Texas as of May 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution.
Gen AI Lead - TX

Gen AI Lead - TX

Photon

Irving, TX • On-site

$15.50 - $18.75/hr

Full-time

Posted 9 days ago

Job description

Job Description
We are seeking an experienced Gen AI Lead to build and guide our Gen AI team. You will be responsible for setting the strategic direction for Gen AI initiatives, leading the development and deployment of innovative solutions, and fostering a culture of collaboration and excellence within the team.
Responsibilities:
  • Define the strategic vision and roadmap for Gen AI within the organization, aligning with overall business goals.
  • Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth.
  • Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j).
  • Oversee the integration of speech-to-text tools (Whisper/Google TTS) and ensure user-friendly interfaces for chatbots and IVR systems.
  • Champion the use of advanced techniques like HyDE, MMR, and LLM reranking to create exceptional semantic search experiences.
  • Collaborate with cross-functional teams (product, engineering, design) to define project requirements, identify new use cases, and ensure successful integration of Gen AI solutions.
  • Stay at the forefront of Gen AI research, actively exploring new tools, frameworks (Langchain, Haystack, Agentic Workflows), and techniques to maintain a competitive edge.
  • Develop and maintain a strong understanding of industry trends and best practices in Gen AI.
  • Communicate effectively with stakeholders at all levels, clearly articulating the value proposition of Gen AI solutions and the team's progress.
  • Foster a culture of innovation, collaboration, and continuous learning within the Gen AI team.

Qualifications:
  • Extensive experience leading and managing Gen AI projects from conception to deployment.
  • Proven track record of success in designing, developing, and implementing innovative AI solutions with real-world impact.
  • Deep understanding of LLMs (OpenAI API, Open Source LLMs) , Transformer/Neural Network architectures, Vector/Graph Databases, and their application in Gen AI.
  • Experience integrating speech-to-text tools and building user interfaces for chatbots and IVR systems.
  • Strong leadership skills with the ability to motivate, inspire, and guide a team of talented Gen AI developers.
  • Excellent communication and collaboration skills to effectively interact with stakeholders across various departments.
  • A strategic mindset with a strong focus on business outcomes and ROI.
  • Passion for innovation and a relentless drive to push the boundaries of what's possible with Gen AI.

Bonus Points:
  • Experience in the chatbot, IVR, or banking domain.
  • Proven ability to build and manage high-performing AI teams.
  • Experience presenting complex technical concepts to non-technical audiences.

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