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Live, first seen by us 23 days agoTime Type: Full time Employee Type:Read the full posting
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.
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.
Design scalable pipelines for high-volume sensor data from semiconductor manufacturing systems
Model physical relationships behind complex process behavior
Develop predictive and control algorithms mixing physics methods and machine learning
Build maintainable software that integrates with real manufacturing tools
Build ML surrogates or reduced order models from rigorous physics simulations
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.
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
Develop ML surrogates or reduced order models, based on rigorous physics simulations
Master’s degree in one of the above fields with a minimum of 2 years of relevant industry or research experience.
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.
Proven ability to work effectively in interdisciplinary environments and solve ambiguous, complex technical problems.
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.
- 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
From the employer’s posting.
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.
In the employer’s words · Read in context
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Location:
Bangalore,INDYou’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.
Job Description
About Rocket
Rocket is a team within Applied dedicated to advancing and scaling rapid innovation methodologies across the organization. We focus on accelerating breakthrough technologies by combining deep scientific expertise, advanced computational methods, and practical engineering to solve complex challenges in semiconductor manufacturing.
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.
Key Responsibilities
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:
Qualifications
Minimum Requirements
Preferred Qualifications
Why Join Rocket?
Rocket offers a unique opportunity to work on cutting-edge challenges at the convergence of physics, AI, and semiconductor manufacturing. You will help develop transformative technologies that directly influence next-generation manufacturing systems while collaborating with a team dedicated to rapid innovation, scientific excellence, and real-world impact.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Relocation Eligible:
NoApplied 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.
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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. Key Responsibilities
No 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.
