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Artificial Intelligence Manufacturing Jobs (NOW HIRING)

Kla

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that ...

Orbotech

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that ...

Magna

Senior Manager Artificial Intelligence

Troy, MI · On-site

... manufacturing of complex powertrain systems. Our name stands for quality, environmental ... The Senior Manager of Artificial Intelligence (AI) governs and program manages allAIinitiatives ...

Ametek

Director, Artificial Intelligence (AI)

Peabody, MA · On-site

$200K/yr

The Director, Artificial Intelligence will lead the UPT division's AI-driven value creation agenda ... Exposure to industrial, manufacturing, or engineered product environments. * Experience operating ...

Magna

Senior Manager Artificial Intelligence

Troy, MI · On-site

... manufacturing of complex powertrain systems. Our name stands for quality, environmental ... The Senior Manager of Artificial Intelligence (AI) governs and program manages all AI initiatives ...

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Artificial Intelligence Manufacturing information

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$30.5K

$97.6K

$153.5K

How much do artificial intelligence manufacturing jobs pay per year?

As of Jun 15, 2026, the average yearly pay for artificial intelligence manufacturing in the United States is $97,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Artificial Intelligence Manufacturing?

Professionals in Artificial Intelligence Manufacturing often encounter challenges such as integrating AI systems with existing manufacturing equipment, ensuring data quality for machine learning models, and maintaining cybersecurity for connected devices. Adapting to rapidly evolving AI technologies and aligning them with production goals requires continuous learning and cross-functional collaboration with engineers, data scientists, and production teams. Effective communication and problem-solving skills are essential to address unexpected technical issues and optimize manufacturing efficiency.

What is artificial intelligence manufacturing?

Artificial intelligence manufacturing refers to the use of AI technologies, such as machine learning, robotics, and data analytics, to optimize and automate processes in the manufacturing industry. AI can help improve product quality, reduce downtime, and increase efficiency by enabling predictive maintenance, real-time monitoring, and advanced quality control. This integration allows manufacturers to make faster, data-driven decisions and respond more effectively to changing market demands.

What can AI do in the manufacturing industry?

In the manufacturing industry, AI can optimize production processes, improve quality control through machine learning algorithms, and enable predictive maintenance to reduce downtime. Manufacturing jobs involving AI often require skills in data analysis, programming, and familiarity with automation tools. These applications help increase efficiency, reduce costs, and enhance product consistency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced degrees, extensive experience, and expertise in AI tools and algorithms. These positions usually involve strategic leadership, innovation, and overseeing large AI projects within organizations. Compensation at this level reflects the complexity and impact of the role in driving technological advancements and business value.

What are the key skills and qualifications needed to thrive in Artificial Intelligence Manufacturing, and why are they important?

To thrive in Artificial Intelligence Manufacturing, you need a solid background in engineering, computer science, or robotics, combined with expertise in AI algorithms and manufacturing processes. Familiarity with tools like Python, TensorFlow, PLCs, CAD software, and knowledge of automation systems or industry certifications such as Six Sigma is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help individuals stand out in this field. These skills ensure efficient integration of AI technologies into manufacturing, driving innovation, productivity, and quality improvements.

Which 3 jobs will survive AI?

In artificial intelligence manufacturing, roles such as AI engineers, robotics technicians, and quality assurance specialists are likely to persist because they require complex problem-solving, hands-on technical skills, and oversight that AI cannot fully replicate. These jobs involve designing, maintaining, and improving AI systems and manufacturing processes, often requiring specialized training and adaptability. Skills in programming, machine learning, and systems integration will remain valuable in this field.

Is AI going to take manufacturing jobs?

Artificial Intelligence Manufacturing roles involve developing and implementing AI systems in production environments. While AI can automate certain tasks, it often complements human workers by increasing efficiency and requiring skills in programming, data analysis, and machine learning. Overall, AI is expected to transform manufacturing jobs rather than eliminate them entirely.
Infographic showing various Artificial Intelligence Manufacturing job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,556 per year, or $46.9 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Kla

Milpitas, CA • On-site

$140K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in California.

Responsibilities :

  • Designing, developing, modifying and diagnosing complex ML and DL algorithms
  • Ability to invent, prototype and deploy new image processing algorithms and ideas
  • Hands-on experience in object-oriented and functional programming
  • Excellent written and verbal communication skills.
  • Ability to work both independently and in a team environment.

Qualifications:

  • Strong background in one or more of the following areas: machine Learning, deep learning, computer vision, image processing
  • Familiar with one of common deep learning frameworks like TensorFlow, PyTorch
  • Hands-on experience with training ML/AI models that have been deployed in a product
  • Ability to write model architectures from scratch, modify loss functions

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 yearsBase Pay Range: $140,500.00 - $238,900.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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