SW Applications Engineer

Posted 4 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Mid level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Develop and deploy software and AI-driven data products for semiconductor process diagnostics and control. Collaborate with R&D, algorithms, product, field, and customer teams to optimize product performance, resolve complex issues, automate workflows with Python, prototype multi-source data applications, and contribute to product roadmaps. The role involves customer deployments at semiconductor fabs worldwide and approximately 50% travel.
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:

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

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.

Skills Required

  • Bachelor's or Master's degree in Electronics Engineering, Computer Science, VLSI, or a related field
  • 2-5 years of experience in semiconductor process and defectivity
  • Hands-on knowledge of CAD and design-based inspection concepts
  • Proficiency in Python, including building scripts, tools, or analytical workflows
  • Familiarity with AI and machine learning concepts
  • Practical experience applying AI and machine learning to data analysis or product development
  • Comfort with GenAI-assisted development tools such as Claude or Copilot
  • Willingness to travel approximately 50% to leading fabs globally
  • Strong analytical and problem-solving skills
  • Ability to work independently and within cross-functional teams
  • Excellent communication skills with customers, field teams, and R&D engineers

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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