Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)
Micron Technology is seeking a Senior/Staff Product Engineer to build GenAI, machine learning, and advanced analytics solutions for semiconductor engineering. You will collaborate with cross-functional teams to prototype and scale AI-driven systems that optimize manufacturing, validation, and design workflows. The role requires deep expertise in Python, LLM orchestration, RAG, and scalable ML production pipelines. You will drive innovation in agentic systems and data analytics to improve engineering productivity across the organization.
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Experience
2+ years
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Micron Technology is seeking a Senior/Staff Product Engineer to build GenAI, machine learning, and advanced analytics solutions for semiconductor engineering. You will collaborate with cross-functional teams to prototype and scale AI-driven systems that optimize manufacturing, validation, and design workflows. The role requires deep expertise in Python, LLM orchestration, RAG, and scalable ML production pipelines. You will drive innovation in agentic systems and data analytics to improve engineering productivity across the organization.
TAL's take
Solid tier-2 global firm with clear focus on high-impact AI/ML application within semiconductor manufacturing.
Extremely well-defined technical requirements and responsibilities mapped to specific AI/ML and GenAI application domains.
Salaries at Micron Technology
22.1 LPA average
Based on 38 Grapevine salary entries for Micron Technology.
Engineering
0 - 2 years | E1
13 LPA average
Range: 13 - 13 LPA
Engineering
2 - 4 years | E3
19 LPA average
Range: 16 - 23 LPA
Engineering
6 - 8 years | E4
24 LPA average
Range: 24 - 24 LPA
Other roles
0 - 2 years | E1
11 LPA average
Range: 3 - 18 LPA
Must haves
- 2+ years experience in AI applications in semiconductors or electronics
- Strong proficiency in Python and SQL
- Experience with data analytics and visualization libraries
- Knowledge of agentic AI frameworks and agentic coding harnesses
- Hands-on experience with LLM workflows, RAG, and deep learning frameworks
- Cloud experience deploying ML pipelines in production
Tools and skills
Nice to have: bigquery, snowflake, mssql, oracle, redshift, kubernetes, javascript, html, css.
About the company
Global semiconductor leader, strong industry reputation but not a Tier 1 software/tech giant.
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