Logistics Automation Engineer – New College Grad (Santa Clara)

About the role

Applied Materials is a global leader in materials science and engineering, creating equipment essential for AI‑driven semiconductor and display technologies. The AGS Logistics – Service Strategy team is transforming global logistics and warehouse operations through AI/ML, simulation, and network optimization. This full‑time, entry‑level position in Santa Clara offers recent graduates the chance to apply data‑driven solutions to real‑world supply‑chain challenges.

Key responsibilities

• Support AI/ML and data‑driven solutions for logistics and warehouse operations.
• Analyze large datasets using data mining, analytics, and visualization tools to uncover insights.
• Develop and evaluate network‑optimization models to improve supply‑chain efficiency and service performance.
• Build and run simulation models to assess operational scenarios and guide strategic decisions.
• Collaborate with cross‑functional teams to solve complex business problems and implement scalable solutions.
• Contribute to automation initiatives that enhance operational productivity and visibility.

Required profile

• Bachelor’s degree in Data Science, Business Analytics, Computer Science, Statistics, Data Analytics or AI/ML (GPA ≥ 3.25 preferred).
• Experience or coursework in Gen AI tools, logistics/supply‑chain concepts, Python programming, or statistical analysis.

Required skills

• AI/ML fundamentals and model development.
• Gen AI / RAG / LLM tools.
• Data mining, data analytics, and statistical analysis.
• Python and SQL programming.
• Process mining and simulation tools.
• Operations research, optimization, and simulation techniques.

What we offer

• Competitive salary range of $61,500 – $84,500 per year.
• Supportive work culture with opportunities for learning, development, and career growth.
• Health, wellbeing, and comprehensive benefits programs.
• Travel up to 10 % of the time for project work.