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SW Applications Engineer

5 days ago Mumbai, India

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:
Mumbai,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.

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

SW Applications Engineer:

This position is within the process diagnostics and control (PDC) group, which deals with advanced imaging together with cutting edge image processing & AI algorithms and electronic design data to detect, measure and classify nanometer size defects and pattern variations from semiconductor fabrication process steps. As PDC to multi-source data products and AI-based solutions, this engineer plays a central role in both shaping those products and driving their success in the field.

What You'll Do

Product Performance & Application

  • Maximize the performance of Data Products through deep understanding of customer use-cases and close technical collaboration with R&D, Algorithms, and Product teams
  • Extend applicative expertise across multiple data sources (CAD, design, process, inspection) and beyond LINK to the full PDC product portfolio
  • Ensure applicative value and readiness of SW and algorithmic solutions prior to and during field deployment

Field Execution & Customer Success

  • Drive adoption and integrated deployment of Data Product solutions at leading semiconductor fabs worldwide
  • Serve as the technical escalation point for complex field issues, providing rapid resolution and root cause analysis
  • Develop utilities and scripts (Python) for debugging, workflow automation, and issue isolation

Innovation & Roadmap Contribution

  • Conceptualize and prototype technical flows that convert multi-source data into new applications and insights
  • Translate Voice of Customer (VoC) and field learnings into concrete product requirements and roadmap inputs
  • Explore and validate AI/ML-based approaches that advance PDC's data product capabilities

What We Offer

  • Opportunity to work on cutting-edge semiconductor technology and products.
  • Direct collaboration with customers and global R&D teams
  • A role with real product influence - your field learnings shape the roadmap
  • Dual career track: technical specialist or engineering leadership
  • A culture of ownership, innovation, and continuous learning

What You Bring

  • Master's / Bachelor's degree in Electronics Engineering, Computer Science, VLSI, or a related field
  • 2-5 years of experience in semiconductor process and defectivity, with hands-on knowledge of CAD and design-based inspection concepts
  • Proficiency in Python; experience building scripts, tools, or analytical workflows
  • Familiarity with AI/ML concepts and practical experience applying them to data analysis or product development
  • Comfort with GenAI-assisted development tools (e.g., Claude, Copilot) for code generation, debugging, and documentation
  • Willingness to travel ~50% to leading fabs globally
  • Strong analytical and problem-solving skills with the ability to work independently and within cross-functional teams
  • Excellent communication skills - equally effective with customers, field teams, and R&D engineers

Additional Information

Time Type:
Full time

Employee Type:
Assignee / Regular

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Travel:
Yes, 50% 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.

Client-provided location(s): Mumbai, India
Job ID: Applied_Materials-R2625151
Employment Type: FULL_TIME
Posted: 2026-08-19T22:46:01

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA With Employer Contribution
    • Health Reimbursement Account
    • FSA
    • HSA
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Fertility Benefits
    • Adoption Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
  • Work Flexibility

    • Flexible Work Hours
    • Work-From-Home Stipend
  • Office Life and Perks

    • On-Site Cafeteria
    • Commuter Benefits Program
    • Casual Dress
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Unlimited Paid Time Off
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • 401(K)
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Internship Program
    • Work Visa Sponsorship
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
  • Diversity and Inclusion