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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 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. Role Summary Join ToPIX team to develop analytics, automation, and algorithmic insights that improve output and stability of semiconductor and display manufacturing tools. You will work on real tool telemetry, sensor data, logs, and control parameters to build high value diagnostics and performance insights. Responsibilities
• Analyse high dimensional tool telemetry, sensor signals, and equipment logs from semiconductor/display manufacturing tools.
• Build data-processing pipelines for time series filtering, anomaly detection, drift analysis, and pattern mining.
• Develop scripts, algorithms,



and dashboards to generate insights (MTBF trends, chamber drift, tool-to-tool variation, throughput loss patterns, etc.).
• Implement lightweight models for predictive maintenance, fault prediction, or recipe deviation detection.
• Create visualizations and reports that highlight tool downtime drivers, cycle time inefficiencies, and productivity bottlenecks.
• Collaborate with domain engineers to validate findings and integrate insights into ToPIX workflows. Required Skills
• Robust Python (NumPy, Pandas, SciPy). Familiarity with time series data processing.
• Basic signal processing, statistical analysis, or ML for anomaly detection.
• Ability to interpret engineering logs, structured/unstructured telemetry, and equipment metadata.
• Understanding of semiconductor or display fabrication concepts (basic level acceptable: process steps, chambers, recipes, sensors).
• Good debugging, analytical thinking, and documentation skills. Academic qualification MTech/MS graduates in the disciplines of Mechanical, Electronics & Computer Science Nice to Have Experience with:
• Time series models (ARIMA, LSTM, autoencoders)
• Data visualization libraries (Plotly, Dash, Matplotlib)
• Feature extraction for sensor data (FFT, wavelets, filtering)
• Tool/FDC/ECID/SECS GEM knowledge (bonus, not required)
• Exposure to large-scale data systems or analytics pipelines. Additional Information Time Type: Full time Employee Type: New College Grad 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.

Apply on Kit Job: kitjob.in/job/5qk9bj

📌 Algorithm Developer (Bengaluru)
🏢 Applied Materials
📍 Bengaluru