drjobs Manager Algorithm Engineering

Manager Algorithm Engineering

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1 Vacancy
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Job Location drjobs

Chennai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop smartphone wearable device voicecontrolled gadget flexible screen VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration research and development. KLA focuses more than average on innovation and we invest 15 of sales back into R&D. Our expert teams of physicists engineers data scientists and problemsolvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience chipmakers around the globe rely on KLA to ensure that their fabs ramp nextgeneration devices to volume production quickly and costeffectively. Enabling the movement towards advanced chip design KLAs Global Products Group (GPG) which is responsible for creating all of KLAs metrology and inspection products is looking for the best and the brightest research scientist software engineers application development engineers and senior product technology process engineers. The LSSWIFT Division of KLAs Global Products Group provides patterned wafer inspection systems for highvolume semiconductor manufacturing. Its mission is to deliver marketleading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry logic memory automotive MEMS advanced packaging and other markets rely upon highsample wafer inspection information generated by LSSWIFT products. LS (Laser Scanning) systems enable costeffective patterned wafer defect detection for the industrys most sophisticated process technologies deployed in leadingedge foundry logic DRAM and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver allwafersurface (frontside backside and edge) macro inspection that is critical for automotive IC MEMS and advanced packaging processes as well as foundry/logic and memory fabs. LSSWIFT operates from a global footprint that includes the US Singapore India and Germany and serves a worldwide customer base across Asia Europe and North America.

Job Description/Preferred Qualifications

Key Responsibilities:

  • Lead and mentor a team of algorithm engineers providing guidance and support to ensure their professional growth and success.
  • Develop and maintain the infrastructure required for the deployment and of algorithms at scale.
  • Collaborate with data scientists software engineers and product managers to design and implement robust and scalable algorithmic solutions.
  • Optimize algorithm performance and resource utilization to meet business objectives.
  • Stay uptodate with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems.
  • Drive continuous improvement in development processes tools and methodologies.

Qualifications:

  • Bachelors or Masters degree in Computer Science Engineering or a related field.
  • Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm.
  • Familiar with high performance computing parallel programming and distributed systems.
  • Strong leadership and team management skills with a track record of successfully leading engineering teams.
  • Proficiency in programming languages such as Python C and CUDA.
  • Excellent problemsolving and analytical skills.
  • Strong communication and collaboration abilities.
  • Preferred Qualifications:
  • Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikitlearn).
  • Experience with GPU architecture and algo development toolkit like Docker Apptainer.

Minimum Qualifications

  • Bachelors degree plus 8 years of experience
  • Masters degree plus 8 years of experience
  • Familiar with high performance computing parallel programming and distributed systems.

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.


Required Experience:

Manager

Employment Type

Full-Time

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