Algorithm Developer

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    "startDate": "2026-06-08",
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    "jobDescription": "<p><b>Who We Are</b></p><p></p><p>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. </p><p></p><p><b>What We Offer</b></p><p></p><p>Salary:</p>$184,000.00 - $253,000.00<p style=\"text-align:inherit\"></p><p style=\"text-align:left\">Location:</p>Santa Clara,CA<p></p><p>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. </p><p></p><p>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 <a href=\"https://hrportal.ehr.com/applied/\" target=\"_blank\"><span><u>benefits</u></span></a>. </p><p></p><p><b>Who We Are</b></p><p></p><p>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. </p><p></p><p><b>What We Offer</b></p><p></p><p>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<span> </span><a href=\"https://hrportal.ehr.com/applied/\" target=\"_blank\"><span><u>benefits</u></span></a>. </p><p></p><p>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.</p><p></p><p><b><span><span><span>What You’ll Do</span></span></span></b><span> </span></p><p></p><p><span>You will be responsible leading research, design, development and implementation of<span> </span></span><span>algorithmic modules. You will p</span>erform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.</p><p></p><p><b><span>Your key responsibilities will be</span></b></p><div><ul><li><p><b>Evaluate and develop algorithms</b> in computer vision and machine learning/deep learning for defect detection, defect classification, metrology, and image analysis.</p></li><li><p><b>Prototype innovative algorithmic approaches</b> to address complex problems by thoroughly understanding customer use cases.</p></li><li><p><b>Collaborate with cross-functional teams</b> (software, systems, and applications) to productize new algorithm solutions that meet defined specifications.</p></li><li><p><b>Optimize </b>algorithms to reduce computational cost and influence hardware requirements.</p></li></ul></div><p></p><p><b><span>You will be a great fit if you have</span></b></p><div><ul><li><p>Proven experience in the <b>semiconductor industry</b>.</p></li><li><p>Strong background in <b>computer vision</b>, <b>image processing</b>, and <b>deep learning technologies</b>.</p></li><li><p>Proficiency in <b>C/C&#43;&#43;</b>, and <b>Python</b>, with hands-on experience using frameworks such as <b>TensorFlow</b>, <b>PyTorch</b>, or similar.</p></li><li><p>GPU Programming like CUDA, and algorithm optimization and tuning skills are desired.</p></li><li><p>Working knowledge of <b>AI-assisted coding tools</b> is a plus.</p></li><li><p>Solid academic foundation in <b>Computer Vision</b>, <b>Deep Learning</b>, <b>Machine Learning</b>, or <b>Artificial Intelligence</b>.</p></li><li><p>Excellent <b>analytical</b>, <b>problem-solving</b>, and <b>organizational skills</b>, combined with strong <b>interpersonal and communication abilities</b>.</p></li><li><p><b>Ph.D.</b> in Computer Science, Electrical Engineering, or related fields with <b>4&#43; years of experience</b>, or <b>Master’s degree</b> with <b>7&#43; years of experience</b>.</p></li></ul></div><p></p><p></p><p></p><p></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Additional Information</b></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Time Type:</b></p>Full time<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Employee Type:</b></p>Assignee / Regular<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Travel:</b></p>Yes, 25% of the Time<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Relocation Eligible:</b></p>Yes<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">In addition, Applied endeavors to make our <a target=\"_blank\" href=\"https://www.appliedmaterials.com/us/en/careers.html\"><span><u>careers site</u></span></a> 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 <span><span><span><span><span><span><span><span><span class=\"WKM0\">Accommodations_Program&#64;amat.com,</span></span></span></span></span></span></span></span></span> 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.</p>",
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