Santa Clara, California, United States · On-site
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · Hybrid
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Santa Clara, California, United States · Remote OK
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Santa Clara, California, United States · Hybrid
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Santa Clara, California, United States · On-site
$160k–$220k/yr
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Santa Clara, California, United States · On-site
$160k–$220k/yr
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Santa Clara, California, United States · Remote OK
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Santa Clara, California, United States · On-site
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Santa Clara, California, United States · Remote OK
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Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Distributed Systems, Microservices, Java, Python, AI-Powered Workflows
Santa Clara, California, United States · Hybrid
$100k–$150k/yr
Thanks for your interest in Oklo! We are searching for a Procurement Specialist to join our Supply Chain & Procurement organization. Position Description The Procurement Specialist - Fuel Recycling is responsible for sup…
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Santa Clara, California, United States · Hybrid
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Skills: Supply Chain Transformation, Business Process Architecture, Enterprise Systems Implementation, KPI Development, Procure-to-Pay
Santa Clara, California, United States · Hybrid
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Santa Clara, California, United States · Hybrid
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Thanks for your interest in Oklo! We are searching for a Sr. Manager, Direct Procurement (Hardware) to join our Procurement & Supply Chain organization. Position Description The Sr. Manager, Direct Procurement (Hardware)…
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Santa Clara, California, United States · Hybrid
$167k–$291k/yr
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Skills: Software Engineering Management, AI Integration, Technical Leadership, Java, C++
Santa Clara, California, United States · On-site
Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users? The Siri and Information Intelligence team is revolutionizing how hundreds of millions of people utilize their devices to …
Skills: PyTorch, TensorFlow, JAX, C/C++, Go
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Lead the research, design, and implementation of algorithmic modules for image processing, defect detection, and metrology. Collaborate with cross-functional teams to productize these solutions and optimize them for computational efficiency.
Requires a Ph.D. with 4+ years of experience or a Master's degree with 7+ years of experience in Computer Science or Electrical Engineering. Must be proficient in C++, Python, and deep learning frameworks with a strong background in the semiconductor industry.
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.
Salary:
$184,000.00 - $253,000.00Location:
Santa Clara,CAYou’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.
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.
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 our benefits.
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 of algorithmic 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.
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.
We deliver material innovation that changes the world.
Applied Materials is the leader in materials engineering solutions that are at the foundation of virtually every new semiconductor and advanced display in the world. The technology we create is essential to advancing AI and accelerating the commercialization of next-generation chips. At Applied, we push the boundaries of science and engineering to deliver material innovation that changes the world. We look forward to engaging with you on compelling topics about the semiconductor industry. We want to hear from you, but offensive comments that create an unpleasant environment for our community will be removed. Thanks for your understanding.
Offices: 3050 Bowers Avenue, Santa Clara, CA 95054, US
Based on 1850 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,984 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Marvell Technology, Qualcomm, ServiceNow, among others. Browse the listings above to see every active employer.
Yes — 339 of the 1984 open engineering positions offer remote or hybrid work (73 remote, 266 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
