Technical Lead – Algorithm Developer
Applied Materials is seeking a technical lead to drive end-to-end algorithm development for optical wafer inspection systems in the semiconductor industry. The role involves designing detection, classification, and calibration algorithms by combining classical computer vision and deep learning approaches. You will work on production-quality code, collaborate with cross-functional global teams, and interface with customers to solve complex inspection challenges. This position requires strong expertise in image processing, a solid mathematical foundation, and the ability to bridge theoretical research with manufacturing-scale hardware integration.
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Experience
7-15 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Applied Materials is seeking a technical lead to drive end-to-end algorithm development for optical wafer inspection systems in the semiconductor industry. The role involves designing detection, classification, and calibration algorithms by combining classical computer vision and deep learning approaches. You will work on production-quality code, collaborate with cross-functional global teams, and interface with customers to solve complex inspection challenges. This position requires strong expertise in image processing, a solid mathematical foundation, and the ability to bridge theoretical research with manufacturing-scale hardware integration.
TAL's take
High-impact technical leadership role at a global semiconductor industry leader with clear, complex domain requirements.
Very clear, detailed responsibilities and requirements spanning research, development, and system integration within semiconductor inspection.
Salaries at Applied Materials
19.6 LPA average
Based on 22 Grapevine salary entries for Applied Materials.
Engineering
2 - 4 years | E2
23 LPA average
Range: 19 - 28 LPA
Engineering
4 - 6 years | E2
16 LPA average
Range: 16 - 16 LPA
Engineering
6 - 8 years | B3
16 LPA average
Range: 16 - 16 LPA
Engineering
8 - 10 years | B3
32 LPA average
Range: 32 - 32 LPA
Must haves
- Master's degree or Ph.D. in CS, EE, or related field
- 7-15 years experience in image processing and computer vision
- Expertise in classical CV and deep learning frameworks (PyTorch/TensorFlow)
- Proficiency in Python and writing production-quality code
- Experience with semiconductor optical wafer inspection
- Understanding of optical systems and physics fundamentals
Tools and skills
About the company
Global leader in semiconductor materials engineering equipment, though its India software/eng brand is secondary to hardware dominance.
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