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KLA-Tencor

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4.0

based on 42 Reviews

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3 KLA-Tencor Algorithm Engineer Jobs

Algorithm Engineer (ML/AI)

0-6 years

Chennai

1 vacancy

Algorithm Engineer (ML/AI)

KLA-Tencor

posted 4mon ago

Job Description

  • The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers
  • The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems
  • These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes
  • The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs
  • The division consists of a global team located in US, Israel, China, and India
Job Description
Responsibilities
  • Design and develop machine learning software solutions for semiconductor device and thin film metrology
  • Work with both internal and external customers to define requirements for these software solutions
  • Build machine learning-based software solutions
  • Optimize algorithms and prototypical solutions for efficient implementation
  • Design, develop, implement, oversee, and adapt API
  • Extend prototypes into fully functional, polished solutions ready for internal and/or external use
  • Implement solutions in Python with TensorFlow
  • Write comprehensive unit tests and provide technical support during alpha and beta testing
  • Document the design and implementation of the software solutions, and give presentations both internally and externally regarding the work
  • Maintain new and existing software solutions throughout the life-cycle of our tools
Preferred Qualifications
  • Strong background in machine learning using regression models and TensorFlow framework
  • Background in software architecture, modern development practices, and design patterns
  • Background in Python or C#, especially in writing production-quality, object-oriented code
  • Background in parallel / distributed computing, performance profiling, and memory optimization
  • Experience in API development is a plus
  • Experience in Azure DevOps is a plus
  • Experience in computational physics and numerical simulations is a plus
  • Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus
  • Ability and willingness to travel worldwide to support projects at customer sites is a plus
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 6 years

Employment Type: Full Time, Permanent

Functional Areas: Software/Testing/Networking

Read full job description

Prepare for Algorithm Engineer roles with real interview advice

People are getting interviews at KLA-Tencor through

(based on 11 KLA-Tencor interviews)
Campus Placement
Job Portal
Referral
Walkin
Recruitment Consultant
28%
27%
9%
9%
9%
18% candidates got the interview through other sources.
High Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.

What Algorithm Engineer at KLA-Tencor are saying

5.0
 Rating based on 1 Algorithm Engineer review

Likes

High salary and flexible working schedule

Dislikes

long work hours needed at times

Read 1 review

Algorithm Engineer salary at KLA-Tencor

reported by 4 employees with 2-10 years exp.
₹18 L/yr - ₹25 L/yr
129% more than the average Algorithm Engineer Salary in India
View more details

What KLA-Tencor employees are saying about work life

based on 42 employees
100%
94%
41%
Flexible timing
Monday to Friday
No travel
View more insights

KLA-Tencor Benefits

Submitted by Company
Paid time off and paid company holidays
Family care and bonding leave
Gym discounts/reimbursements and virtual fitness classes
Back up care services and wellness rewards
Varied career-advancing benefits
Tuition reimbursement program +2 more
Submitted by Employees
Health Insurance
Free Transport
Cafeteria
Team Outings
Work From Home
Soft Skill Training +6 more
View more benefits

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