Senior Software Engineer

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,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.

We are looking for a highly skilled and hands-on Data and API Engineer with deep expertise in Python, API development, and GenAI technologies. The ideal candidate will have a proven track record of implementing complex data solutions, coordinating effectively with infrastructure teams and customers, and solving challenging technical problems with creativity and precision.

Key Responsibilities:

• Hands-on Implementation: Architect, develop, and maintain scalable data platforms using Python, APIs, and modern data technologies.

• GenAI Integration: Apply GenAI tools for code generation, SQL optimization, anomaly detection, and intelligent automation.

• Infrastructure Coordination: Collaborate closely with infrastructure teams to ensure seamless deployment, scalability, and performance of data solutions.

• Customer Engagement: Act as a technical liaison with internal and external stakeholders to gather requirements, provide updates, and ensure satisfaction.

• Problem Solving: Lead troubleshooting efforts for complex data issues, performance bottlenecks, and integration challenges.

• Platform Modernization: Drive initiatives around cloud migration, real-time data processing, and AI-powered data monitoring.

• Team Leadership: Mentor junior engineers and foster a collaborative, innovative engineering culture.

• 6-8 years of experience in data engineering, software development, or platform architecture.

• Strong proficiency in Python, RESTful API development, and microservices architecture.

• Hands-on experience with GenAI tools (e.g., Claude Code, Claude CLI, Claude skills, GitHub Copilot, OpenAI Codex, Databricks AI).

• Expertise in SQL performance tuning and query optimization.

• Experience with cloud platforms (Azure, AWS, GCP) and modern data stacks.

• Strong coordination skills with infrastructure and customer-facing teams.

• Excellent analytical, problem-solving, and communication skills.

• Experience with data warehouse technologies (ClickHouse, Databricks).

• Familiarity with agentic AI systems and autonomous data monitoring.

• Background in semiconductor, manufacturing, or high-tech industries.

• Contributions to open-source projects or technical publications.