Algorithms Development Manager

Posted One Month Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Leads a technical team developing computer vision, machine learning, image processing, and deep learning algorithms for semiconductor inspection and metrology systems. Defines architecture and technical roadmaps, drives high-performance CPU/GPU implementations, oversees validation and product releases, resolves customer issues, and partners with global software, HPC, systems, product, and applications teams. Responsible for hiring, mentoring, succession planning, and cross-functional delivery.
Summary Generated by Built In

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,IND, Chennai,IND

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 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.


About the Role

We are seeking an experienced Algorithm Development Manager to lead a high-impact team developing advanced computer vision, machine learning, and image processing solutions for next-generation semiconductor equipment systems. A successful candidate will combine deep technical expertise with strong technical leadership to deliver innovative algorithm solutions that directly impact customer success and business growth.


Key Responsibilities


Leadership

  • Lead the development of advanced inspection and metrology algorithms for semiconductor wafer and advanced packaging applications.
  • Evaluate and incorporate emerging technologies in computer vision, image processing, machine learning, deep learning, and high-performance computing.
  • Define algorithm architecture, technical strategy, and development roadmaps aligned with product objectives.
  • Guide performance optimization for high-throughput production systems, including CPU, GPU, and parallel computing implementations.
  • Establish robust methodologies for algorithm quality, benchmarking, validation, characterization, and performance monitoring.
  • Build, lead, mentor, and develop a high-performing algorithm engineering team.
  • Drive hiring, onboarding, succession planning, and career development while fostering a culture of innovation, technical excellence, and continuous learning.

Product Development

  • Collaborate with product management and applications engineering to translate requirements into differentiated product capabilities.
  • Drive feature definition, prioritization, and execution plan across multiple product releases.
  • Lead the investigation and resolution of critical customer escalations and field issues.
  • Partner with software, HPC, and systems engineering teams across India and United States to deliver scalable and high-performance solutions.
  • Drive end-to-end ownership of algorithm development, from concept and prototyping through integration, optimization, qualification, and product release.
  • Collaborate with global teams to leverage common infrastructure, shared technology platforms, and best practices.

Minimum Qualifications

  • MS in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related technical discipline.
  • 10+ years of experience algorithm development on large-scale hardware-centric system.
  • 3+ years of technical leadership experience.
  • Strong programming skills in C++ and Python.
  • Experience with algorithm development for large-scale hardware-centric systems.
  • Proven ability to lead complex cross-functional projects.

Preferred Qualifications

  • Experience in semiconductor inspection, metrology, or related semiconductor equipment industries.
  • Hands-on expertise in computer vision, ML/DL algorithms, and imaging systems
  • Experience with GPU programming and high-performance computing.
  • Strong technical communication skills.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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.

Skills Required

  • Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline
  • 10+ years of experience in algorithm development for large-scale hardware-centric systems
  • 3+ years of technical leadership experience
  • Strong programming skills in C++ and Python
  • Experience developing algorithms for large-scale hardware-centric systems
  • Ability to lead complex cross-functional projects
  • Experience in semiconductor inspection, metrology, or related semiconductor equipment industries
  • Hands-on expertise in computer vision, machine learning/deep learning algorithms, and imaging systems
  • Experience with GPU programming and high-performance computing
  • Strong technical communication skills

Applied Materials Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.

  • Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
  • Leave & Time Off Breadth — Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
  • Equity Value & Accessibility — An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.

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The Company
HQ: Santa Clara, CA
23,282 Employees
Year Founded: 1969

What We Do

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.

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