Posted:
5/6/2024, 5:00:00 PM
Location(s):
Karnataka, India
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Description:
Applied Materials Image Processing SW Group leads the software development of image processing systems, which are integrated in a wide range of products. Image processing systems capture the images from high speed scanning systems and perform complex image processing algorithms to detect defects on memories and processors chips. These distributed systems consist of many computers and multiprocessors and the processing is done in parallel in order to speed up the calculations.
The group is looking for individual contributor who can be part of the team that develops the optimized (throughput and memory wise) image processing algorithms for a leading product of the company. The team develops efficient, fast and qualified SW and works closely with algorithm engineers during the process. The role includes active code development and working closely with various interfaces.
Responsibilities:
Job requirements:
Desired Skills:
Business Expertise
Impact
Education:
Bachelor's DegreeSkills:
Computer Vision, Image Processing, OpenCV-Python (Inactive), Python (Programming Language)Certifications:
Languages:
Years of Experience:
4 - 7 YearsWork Experience:
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.
Website: https://appliedmaterials.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1967
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Electronics ⋅ Manufacturing ⋅ Semiconductor ⋅ Software