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.
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.
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.
- ## Educational Qualifications
B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, or a related field.
Master's degree in Computer Science, AI, Deep Learning, or NLP is highly preferred.
Domain Knowledge: Semiconductor / Manufacturing
## Experience - Must
8+ years of IT experience, with 6+ years in data science and 2+ Years in Agentic AI. Deployed multiple solution in Production using unstructured data.
Proven experience designing, pretraining, and fine-tuning large-scale LLMs for tasks such as text generation, summarization, and question answering.
Research orientated, quick prototyping, and build AI / GenAI solution at enterprise scale.
## Technical Skills
Strong Python programming skills; hands-on with TensorFlow, PyTorch, or Keras.
Solid understanding of transformer architectures (BERT, GPT, LLaMA) and fine-tuning techniques (SFT, LoRA, adapters, prompt engineering).
Deep expertise in build model with large unstructured data, Solutioning, Deep learning framework and Re-enforcement learning.
Familiarity with Databricks, MLflow, and Delta Lake; experience with MLOps best practices including CI/CD and model versioning.
Proficiency in data preprocessing and handling large-scale text, image, or multimodal datasets.
- *(Preferred)* Experience with LLM orchestration frameworks such as **LangGraph, LangChain, or LlamaIndex**, including agentic workflows, RAG pipelines, multi-agent system design, MCP, Azure Foundry etc.
- *(Preferred)* Proficiency in **AI-assisted coding tools** (e.g., Claude Code, GitHub Copilot) for accelerating development across complex codebases.
- Exposure to computer vision or multimodal models is a plus.
## Cloud & Infrastructure
Experience working with cloud platforms, with a preference for candidates familiar with the Azure ecosystem.
Comfortable working in UNIX/Linux environments with command-line scripting.
## Soft Skills
Strong analytical, problem-solving, and communication skills (written, verbal, and visual).
Ability to collaborate across cross-functional teams and mentor junior members.
Drive multiple initiatives and present solution at large forums.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied 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
- B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, or related field.
- 8+ years IT experience, including 6+ years in data science and 2+ years in agentic AI; deployed multiple production solutions with unstructured data.
- Proven experience designing, pretraining, and fine-tuning large-scale LLMs for text generation, summarization, and question answering.
- Strong Python programming skills.
- Hands-on experience with TensorFlow, PyTorch, or Keras.
- Solid understanding of transformer architectures (BERT, GPT, LLaMA) and fine-tuning techniques (SFT, LoRA, adapters, prompt engineering).
- Expertise building models with large unstructured datasets, deep learning frameworks, and reinforcement learning.
- Familiarity with Databricks, MLflow, Delta Lake and MLOps best practices including CI/CD and model versioning.
- Proficiency in data preprocessing and handling large-scale text, image, or multimodal datasets.
- Experience working with cloud platforms, preferably Azure; comfortable in UNIX/Linux environments and command-line scripting.
- Domain knowledge in semiconductor / manufacturing.
- Master's degree in Computer Science, AI, Deep Learning, or NLP.
- Experience with LLM orchestration frameworks (LangGraph, LangChain, LlamaIndex), agentic workflows, RAG pipelines, multi-agent design.
- Familiarity with AI-assisted coding tools (Claude Code, GitHub Copilot).
- Exposure to computer vision or multimodal models.
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.
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Retirement Support — Retirement offerings are positioned as a meaningful part of total rewards, with a 401(k) match structure and auto-enrollment described alongside participation in stock-related programs. The combination of matching and purchase discounts is presented as strengthening longer-term financial benefits beyond base pay.
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Healthcare Strength — Health coverage is characterized as comprehensive, spanning medical/dental/vision as well as life and disability protections, with additional support like EAP and virtual care. Onsite fitness/health centers in certain locations further reinforce the sense of a robust health and wellness benefits stack.
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Leave & Time Off Breadth — Time-off provisions are described as broad, including flexible/unlimited PTO in some roles, paid holidays, sick time, bereavement leave, and parental leave. Flex-time and flexible hours appear repeatedly as part of the overall rewards experience.
Applied Materials Insights
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.
