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Diffusion Jobs in Texas (NOW HIRING)

Diffusion Specialist

Austin, TX · On-site

$180K - $280K/yr

Design, train, and improve diffusion-based image editing systems * Build and optimize training pipelines for generative models * Develop high-performance inference pipelines for image generation and ...

This is a hands-on, high-impact role for a process engineer who knows their way around diffusion toolsets and is ready to help build one of the most ambitious domestic solar manufacturing operations ...

Senior Diffusion Process Engineer

Austin, TX · On-site

$103K - $133K/yr

This is a hands-on, high-impact role for a process engineer who knows their way around diffusion toolsets and is ready to help build one of the most ambitious domestic solar manufacturing operations ...

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Diffusion information

See Texas salary details

$12

$20

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How much do diffusion jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for diffusion in Texas is $20.72, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.51 per hour, depending on experience, location, and employer.

What is a diffusion job?

Diffusion jobs typically refer to roles involved in the study or application of diffusion processes, which is the movement of particles from regions of higher concentration to lower concentration. These jobs are common in scientific fields such as chemistry, physics, materials science, and engineering. Professionals in diffusion-related roles may conduct experiments, analyze data, and develop models to understand how substances interact and spread. They might also work in industries like pharmaceuticals, energy, or manufacturing, where diffusion processes are critical to product development and quality control.

What skills and qualifications are needed to thrive as a diffusion engineer?

To thrive as a Diffusion Engineer, you need a strong background in materials science, chemical engineering, or physics, often with a relevant degree and experience in semiconductor manufacturing. Proficiency with diffusion furnaces, process control systems, and statistical process control (SPC) tools is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for success in this role. These competencies ensure precise process optimization, yield improvement, and the reliable production of semiconductor devices.

What are common challenges faced by diffusion engineers and how can they be addressed?

Professionals in diffusion engineering often encounter challenges such as managing complex simulations, ensuring accuracy in predicting material behavior, and integrating multidisciplinary knowledge from chemistry, physics, and engineering. Collaborating closely with cross-functional teams, maintaining up-to-date knowledge of modeling software, and participating in regular team reviews can help address these challenges. Seeking mentorship and ongoing training can also enhance problem-solving skills and keep professionals competitive in this evolving field.

What is the difference between Diffusion vs Data Scientist?

AspectDiffusionData Scientist
Required CredentialsTypically requires knowledge of diffusion models, physics, or related fieldsRequires degrees in computer science, statistics, or related fields; often includes certifications in data analysis
Work EnvironmentResearch labs, AI development companies, or tech firms focusing on machine learning modelsTech companies, finance, healthcare, and other industries analyzing large datasets
Employer & Industry UsageUsed in AI research, image generation, and physics simulationsApplied in data analysis, predictive modeling, and business intelligence

Diffusion specialists focus on developing and applying diffusion models in AI and physics contexts, while Data Scientists analyze data to extract insights and build predictive models. Both roles require technical skills but differ in their core focus and industry applications.

Infographic showing various Diffusion job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $43,088 per year, or $20.7 per hour.

Diffusion Specialist

AutoHDR

Austin, TX • On-site

$180K - $280K/yr

Full-time

Re-posted 20 days ago


Job description

About the Company
AutoHDR is an AI real estate photo editing company, processing 20% of all US real estate photos.
About the Role
We are looking for unusually strong engineers who can ship broadly across the stack and also bring deep expertise in diffusion models, generative modeling, and image synthesis systems.
We want builders who can contribute to product features, backend systems, internal tools, debugging, and AI workflows, while owning and advancing the core diffusion-based systems that power our image editing capabilities.
Responsibilities
  • Design, train, and improve diffusion-based image editing systems
  • Build and optimize training pipelines for generative models
  • Develop high-performance inference pipelines for image generation and editing
  • Improve model quality across realism, consistency, controllability, and style fidelity
  • Optimize diffusion systems for speed, cost, and scalability in production
  • Collaborate with product and engineering to ship model improvements to users
Implement / Improve Systems For:
  • User-facing AI image editing tools powered by generative models
  • Property manipulation tools (virtual staging, re-lighting, object edits, etc.)
  • Style consistency and controllable editing systems
  • High-throughput image generation and editing pipelines
Qualifications
  • You are a high-agency builder who likes ownership
  • You may be a founder, CTO, founding engineer, or owned a core ML or generative system
  • You have deep experience with diffusion models, generative modeling, or advanced computer vision systems
Required Skills
If your work is purely theoretical or disconnected from real product systems and users, this is probably not the right fit.
Strong backgrounds we're looking for:
  • Zero-to-one model or system building
  • Ownership of a core generative model or image system in production
  • Strong understanding of diffusion models and generative techniques
  • Experience improving model quality (consistency, realism, control, artifact reduction)
  • Experience with training, fine-tuning, or adapting large models
  • Ability to ship models into real-world systems with real users
  • Real shipped products with real users
  • Exceptional open-source, research, or competitive ability when it clearly reflects real technical horsepower
Location
Downtown Austin, TX
Open to making exception for exceptional engineers, working remotely in SF
Compensation
$180,000 - $280,000+ base salary + equity and bonuses
Final salary will be based on a number of factors including level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not bonuses.
AutoHDR Core Values
Our core values are the fuel for our continuous 20% month-over-month growth. Iron sharpens iron in our office, and the entire dev team is bought in to winning together.
Persistence
You believe anything is possible - the only variable is how long it will take. You will always continue trying to solve a problem, look for new solutions, and figure it out at all costs through continuous effort - even when most would give up.
Optimism
You believe strongly that you can accomplish anything you want - regardless of the odds. Even when everything is on fire, you never doubt your ability to pull through and win.
Competitive Greatness
Every individual on our team wants to be the best in the world at what they do. We are extremely competitive and will settle for nothing other than being the #1 player for AI real estate editing.
Department Engineering Locations Downtown Austin