1,957,435open jobs
115,569companies
239,741added this week
Browse all
Salary
$184k – $253k per year
Location
In office (Santa Clara)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Jul 2, 2026. Applied Materials scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Applied Materials is the largest supplier of semiconductor manufacturing equipment in the world, founded in Santa Clara in 1967 and now shipping the deposition, etch, implantation, thermal processing and inspection systems used to build transistors and interconnects. Its tools sit at the heart of nearly every advanced logic and memory fab, and the company also supplies equipment for display panels and a services business that maintains the large installed base. Headquartered in Santa Clara and listed on Nasdaq, it invests heavily in materials engineering research aimed at extending device scaling beyond conventional lithography limits.

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$184,000.00 - $253,000.00

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.

What We Offer

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about ourbenefits.

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

What You’ll Do

You will be responsible leading research, design, development and implementation ofalgorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.

Your key responsibilities will be

  • Evaluate and develop algorithms in computer vision and machine learning/deep learning for defect detection, defect classification, metrology, and image analysis.

  • Prototype innovative algorithmic approaches to address complex problems by thoroughly understanding customer use cases.

  • Collaborate with cross-functional teams (software, systems, and applications) to productize new algorithm solutions that meet defined specifications.

  • Optimize algorithms to reduce computational cost and influence hardware requirements.

You will be a great fit if you have

  • Proven experience in the semiconductor industry.

  • Strong background in computer vision, image processing, and deep learning technologies.

  • Proficiency in C/C++, and Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or similar.

  • GPU Programming like CUDA, and algorithm optimization and tuning skills are desired.

  • Working knowledge of AI-assisted coding tools is a plus.

  • Solid academic foundation in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.

  • Excellent analytical, problem-solving, and organizational skills, combined with strong interpersonal and communication abilities.

  • Ph.D. in Computer Science, Electrical Engineering, or related fields with 4+ years of experience, or Master’s degree with 7+ years of experience.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 25% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected],or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,957,435 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Industrial Engineering
Similar stack
Same company
Santa Clara
≈ $44k – $80k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Suffolk
Analytics
Microsoft Excel
Apply
Production Planner 3 hours ago
$70k – $90k per year • In office • 5+ years exp • High School Diploma • Mansfield
Apply
≈ $91k – $172k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Somerset
DevOps
Windows
Chips/EDA
Statistical Process Control
Design
SolidWorks
Apply
≈ $92k – $174k per year (Estimated) • Remote (United States) • 5+ years exp • Bachelor's Degree • Sugar Land
Apply
≈ $66k – $120k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Rancho Cucamonga
SpaceTech
AS9100
Apply
≈ $20k – $51k per year (Estimated) • Remote (EAEU) • Moscow
Python
SQL
Python
FastAPI
AI/ML
Prompt Engineering
LLM
RAG
DevOps
Git
Docker
Grafana
Apply
Data Analyst - Python 1 month ago
≈ $13k – $29k per year (Estimated) • In office • 4+ years exp • Bengaluru
Python
SQL
AI/ML
SciPy
NumPy
Machine Learning
DevOps
GCP
Azure
Git
AWS
Analytics
Power BI
Seaborn
Matplotlib
Apply
≈ $16k – $32k per year (Estimated) • In office • Moscow
Python
SQL
AI/ML
Hadoop
Spark
NumPy
Analytics
Seaborn
Matplotlib
Apply
In office • Full-Time • Athens
Python
SQL
Analytics
Power BI
Microsoft Excel
Apply
Acting Supervisor II 11 hours ago
≈ $71k – $129k per year (Estimated) • In office • Part-Time • PhD • Santa Clara
Apply
$130k – $160k per year • In office • 8+ years exp • Santa Clara
Chips/EDA
Tessent
Cadence Xcelium
Synopsys SpyGlass
Apply
$95k – $137k per year • In office • Full-Time • High School Diploma • Santa Clara
Python
MATLAB
Apply
$120k – $180k per year • In office • Full-Time • Bachelor's Degree • Santa Clara
Management
Agile
Apply
≈ $51k – $83k per year (Estimated) • In office • Internship • 3+ years exp • Bachelor's Degree • Hillsboro • Folsom • Santa Clara • Phoenix
Apply
See all jobs
This is one of many
1,957,435 more open roles from verified company boards, updated every day.