Applied Materials, Inc

New College Grad - Algorithm Developer III - PhD (Winter 2026 Start)

Applied Materials, Inc$161K — $221K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or related quantitative discipline, or a Master’s with 2+ years of relevant experience.
  • Deep expertise in theoretical physics, applied mathematics, computational science or simulation-driven engineering.
  • Working knowledge of modern machine learning and statistical modeling techniques.
  • Strong software engineering skills with experience in translating algorithms to production-ready code.
  • Ability to solve real-world engineering challenges and work across mathematical modeling, machine learning and software implementation.

Responsibilities

  • Design and develop scalable data pipelines for high-volume sensor data.
  • Identify and model physical relationships in complex processes.
  • Develop predictive and control algorithms combining physics-based methods and machine learning.
  • Build software modules that integrate with manufacturing tools.
  • Collaborate with interdisciplinary teams to drive innovation.
  • Implement intelligent automation solutions for semiconductor manufacturing.
  • Analyze sensor data to improve simulation accuracy.

Benefits

  • Relocation eligibility available.
  • Travel requirement of 10%.
  • Opportunity to participate in a comprehensive benefits package.
Full Job Description
Position Summary

We are seeking a highly motivated and intellectually curious Algorithm Developer to work at the intersection of artificial intelligence and machine learning (AI/ML), theoretical physics, and systems engineering. In this role, you will drive the development of next-generation solutions for high-impact semiconductor manufacturing applications.

The successful candidate will contribute to multiple disruptive design initiatives by developing automated systems capable of ingesting and processing data from thousands of sensors, identifying critical physics-based relationships, and building predictive and control models. These solutions will leverage a hybrid approach that combines first-principles physics modeling with advanced machine learning techniques, including physics-informed neural networks (PINNs), to optimize complex manufacturing processes in real time.

Applications will be reviewed on a rolling basis. Please apply by October 23rd, 2026. Note: This position may close early based on application volume or candidate selection.

Key Responsibilities
  • Design and develop scalable data pipelines to collect, process, and analyze high-volume sensor data from semiconductor manufacturing systems.
  • Identify and model underlying physical relationships governing complex process behavior.
  • Develop predictive and control algorithms using a combination of traditional physics-based methods and machine learning approaches.
  • Build robust, maintainable software modules that integrate directly with real-world manufacturing tools and systems.
  • Collaborate with multidisciplinary teams spanning physics, engineering, software development, and data science to accelerate innovation and technology deployment.
  • Contribute to the design and implementation of intelligent automation solutions for advanced semiconductor manufacturing processes.
  • Develop ML surrogates or reduced order models, based on rigorous physics simulations, including research, design, development and implementation & proliferation accompanying in accordance with project budgets and time schedules.
  • Optimize accuracy / performance tradeoffs, to retain achieve but speed execution of algorithm modules
  • Analyze large quantities of sensor and metrology data, and iteratively improve simulation and models to improve accuracy
  • Implement models and code for user facing applications, in control systems or dashboards
  • Maintain a clean and consistent code base, that can be extended by team


Ideal Candidate Profile

The ideal candidate possesses a strong foundation in theoretical and computational disciplines, coupled with practical software development expertise. You are passionate about applying scientific principles to solve real-world engineering challenges and are equally comfortable moving between mathematical modeling, machine learning, and software implementation.

You should demonstrate:
  • Deep expertise in one or more areas of theoretical physics, applied mathematics, computational science, or simulation-driven engineering.
  • Working knowledge of modern machine learning, data science, and statistical modeling techniques.
  • Strong software engineering capabilities, including the ability to translate complex algorithms into clean, scalable, and production-ready code.
  • A practical mindset focused on delivering solutions that interact with and control physical systems in real-world environments.


Qualifications

Minimum Requirements
  • Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline, or
  • Master's degree in one of the above fields with a minimum of 2 years of relevant industry or research experience.


Preferred Qualifications
  • Ideal candidates will be available to start full time during the window November 2026 - February 2027
  • Demonstrated ability to develop high-quality, maintainable code, evidenced through public GitHub repositories, open-source contributions, peer-reviewed publications, or equivalent technical work.
  • Experience with computational methods, computer-aided engineering (CAE), engineering simulation, physical modeling, or the analysis of complex systems, with a focus on practical and impactful outcomes.
  • Experience applying machine learning techniques to scientific, engineering, or industrial problems.
  • Strong interest in sensors, instrumentation, hardware systems, robotics, or other technologies that bridge software with physical-world applications.
  • Proven ability to work effectively in interdisciplinary environments and solve ambiguous, complex technical problems.


Additional Information

Time Type:
Full time

Employee Type:
New College Grad

Travel:
Yes, 10% 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.

About Applied Materials, Inc

Applied Materials specialize in materials engineering solutions. They optimize equipment and fab operations through consulting, spare parts, services, and automation software. They also provide supply chain services from transactional spares through programs, rebuilds, and forecasted parts management. Their products and technologies include semiconductors, displays, roll web coating, solar, and automation software.

**Applied Materials, Inc. Careers**

Join the innovative world of Applied Materials, Inc., a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our global team is driving innovation and growth in the industries we serve. This is where your expertise can make a true impact.

Work You’ll Do

At Applied Materials, Inc., you will be part of a company that prides itself on fostering a culture of innovation, diversity, and professional growth. As a member of our team, you will lead groundbreaking projects at the intersection of technology, leadership, and engineering excellence. We offer a variety of job opportunities that allow you to explore your potential and push the boundaries of what's possible.

Innovate and Lead

Join a team where innovation is at the heart of everything we do. You will work alongside the brightest minds in the industry, utilizing your skills to contribute to projects that are not only exciting but also crucial for technological advancements. Our leadership is committed to providing you with the guidance and support needed to achieve your career goals.

Career Growth and Opportunities

Whether you are looking for an internship, a full-time position, or leadership roles, Applied Materials, Inc. provides an array of career paths to help you achieve your professional aspirations. Our commitment to career growth is evident through extensive training programs and opportunities for advancement.

Diversity and Inclusion

At Applied Materials, Inc., we believe that diversity fuels innovation. We are dedicated to building a diverse team that reflects the global communities we serve. Our diversity training programs are designed to enhance collaboration and foster an inclusive environment where all employees can thrive.

Benefits and Culture

Our employees enjoy a range of benefits that support both their professional and personal lives. From health and wellness programs to competitive retirement plans, we ensure that our team is taken care of. The culture at Applied Materials, Inc. is built on collaboration, respect, and a commitment to excellence.

Join Our Team

Explore the job opportunities at Applied Materials, Inc. and find the position that matches your skills and passions. We are continuously hiring and looking for individuals who are curious, creative, and ready to drive innovation in a dynamic industry.

Stay Connected

Keep up to date with the latest company news, career tips, and industry insights by joining our network. Engage with us on professional networking platforms and stay ahead in your career journey.

Apply Now

Ready to take the next step in your career? Submit your resume, prepare for your interview, and join a team that’s dedicated to materializing the technologies of tomorrow. Discover the impact you can make at Applied Materials, Inc. and help us shape the future.

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--- This page for Applied Materials, Inc. Careers incorporates all the requested elements, maintaining the "Company Content Style" with a focus on innovation, career growth, and the dynamic team environment.
Learn more about Applied Materials, Inc
Size
27,000 employees
Market Cap
$80.7 billion
Industry
Net Income
$3.8 billion
Founded
1967
5 Year Trend
+11.9%
Revenue
$18.2 billion
NASDAQ

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