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Diffusion Process Engineer Jobs in Arizona (NOW HIRING)

AI Engineer

Mesa, AZ · On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... diffusion models) and Agentic AI solutions. • Perform data exploration, feature engineering, and statistical analysis to support model development. • Ingest, process, and analyze structured (e.g ...

New

Working with our Fab operations team, s/he will work Equipment Engineering for innovative memory ... Lifting - Process Technicians must be able to lift 20-25lbs (weight of lot boxes). Maintenance ...

Working with our Fab operations team, s/he will work Equipment Engineering for innovative memory ... Lifting - Process Technicians must be able to lift 20-25lbs (weight of lot boxes). Maintenance ...

Wafer Fab Technician

Chandler, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze qualification data and monitor process performance * Execute out-of-control action plans ... Associate degree in Science, Engineering, or related field, and 3-5+ years of semiconductor ...

Working with our Fab operations team, s/he will work Equipment Engineering for innovative memory ... Lifting - Process Technicians must be able to lift 20-25lbs (weight of lot boxes). Maintenance ...

Showing results 41-45

Diffusion Process Engineer information

See Arizona salary details

$46.1K

$85.8K

$132.8K

How much do diffusion process engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for diffusion process engineer in Arizona is $85,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $96,000.00 per year, depending on experience, location, and employer.

What are common daily responsibilities for a diffusion process engineer in the semiconductor industry?

As a Diffusion Process Engineer, your typical day often includes monitoring and optimizing diffusion furnace operations, analyzing process data, and troubleshooting equipment or yield issues to ensure efficient semiconductor wafer production. You'll work closely with operators, equipment technicians, and other engineers to implement process improvements and maintain strict cleanroom standards. Regular tasks may also involve conducting experiments, documenting procedures, and collaborating on cross-functional teams to support new product introductions or resolve production challenges. This varied workflow provides valuable opportunities to deepen your expertise and contribute to advancing manufacturing technology.

What are the key skills and qualifications needed to thrive in the diffusion process engineer position, and why are they important?

A Diffusion Process Engineer is responsible for developing, monitoring, and optimizing diffusion and thermal processes in semiconductor manufacturing. They work with high-temperature furnaces and doping techniques to alter the electrical properties of silicon wafers. Their role includes process development, equipment maintenance, troubleshooting, and ensuring production meets quality and efficiency standards. They collaborate with equipment engineers, integration teams, and manufacturing personnel to improve yield and process stability.

What job categories do people searching Diffusion Process Engineer jobs in Arizona look for?

The top searched job categories for Diffusion Process Engineer jobs in Arizona are:

Infographic showing various Diffusion Process Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $85,750 per year, or $41.2 per hour.

$65K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

Position Overview
Cognizant is seeking a highly skilled and innovative AI Engineer to join our AI & Data Science team. The ideal candidate will have exposure in Python, and SQL and will be responsible for data exploration and AI development. This role involves designing and developing scalable AI solutions and data pipelines for structured, semi-structured, and unstructured data, enabling advanced analytics and intelligent automation across the organization.
Key Responsibilities
• Build, train, and deploy machine learning and deep learning models, including Generative AI (e.g., LLMs, diffusion models) and Agentic AI solutions.
• Perform data exploration, feature engineering, and statistical analysis to support model development.
• Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, images, logs) from diverse sources using Python, SQL
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions.
• Develop and maintain technical documentation, data dictionaries, and model cards.
• Monitor, troubleshoot, and optimize AI models and data workflows for performance and scalability.
• Ensure compliance with data governance, security, and privacy policies.
• Stay current with the latest advancements in AI, Generative AI, and Agentic AI technologies.
• Familiarity with MLOps practices
Required Skills & Qualifications
• A bachelor's or master's degree in computer science, data science, artificial intelligence, or a related discipline
• A portfolio of personal projects, academic work, or contributions to open-source projects that demonstrate your AI skills.
• Exposure in programming skills in Python and SQL
• Good problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders
• Knowledge with cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) and Agentic frameworks (Langgraph, Lang chain, Crew.ai etc.)
• Hands-on experience with at least one AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
• Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. unsupervised learning, regression, classification, clustering)
• Solid understanding of Generative AI (e.g., LLMs, GANs) and Agentic AI concepts
• Familiarity with essential libraries for data science and machine learning (e.g., Pandas, NumPy, scikit-learn)
• Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes)
• Understanding of data security, encryption, and compliance best practices
• Ability to work independently and collaboratively in a fast-paced environment
Location
New hires will be hired at the Cognizant office in Plano, TX or Teaneck, NJ, where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment.
Start Date
New hires will start in August 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.
Salary and Other Compensation:
The annual salary for this position is $65,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Why Choose Us?
Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer
The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Work Authorization
Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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