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Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.


Product Systems Engineer, Vision System Integration

Date:  Sep 15, 2021
Location: 

Tualatin, OR, US

Req ID:  162937

Job Responsibilities

We are seeking a top-tier candidate for camera/machine vision integration and testing for our products. The ideal candidate for this position will work in a cross functional role interacting with various engineering teams as well as vendors to develop the required infrastructure for accurate and effective testing and analysis. The candidate is also expected to support field teams either virtually or by traveling to customer site as required. In this role you will partner with other subject matter experts and work with a cross functional team of sensor, HW, EE integration, system software and algorithm designers to build meaningful and representative test systems and prototypes.


Core Responsibilities:

  • Verify that the camera / machine vision product meets its performance and productivity success criteria
  • Plan and execute cutting edge research to advance image and video analytics on semiconductor equipment
  • Debug optical, electrical, and mechanical issues during camera module development 
  • Perform comprehensive optical, image sensor, and image quality characterization
  • Work with stakeholders throughout the organization to identify opportunities for leveraging existing codebase and platform; drive and validate camera and sensor data capture and processing improvements in the hardware and software
  • Acquire and apply basic engineering theories, methods and research techniques in the investigation, troubleshooting, and resolution of technical problems 
  • Run process recipes in coordination with process engineers / technicians on Lam process modules
  • Mine and analyze video data sets to improve Lam Research products
  • Assess the effectiveness and accuracy of your models and data gathering techniques
  • Develop, train, and deploy models to increase and optimize customer experiences
  • Develop test plans, documentation and reports as required
  • Able to work independently and drive results

Minimum Qualifications

  • BS+5yrs/MS+3yrs/PhD in a relevant field (Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering, Optics, Physics, Image Science, Applied Mathematics, or other related disciples)
  • Strong experience with image processing, computer vision and computational imaging algorithms and associated libraries
  • Expertise with lens-based imaging systems/ camera calibration methods/scripting languages such as Matlab or Python/ projective geometry and geometric imaging optics
  • Familiar with software test methodologies, Design of Experiments, and a passion for testing 
  • Creative thinking, strong problem solving and troubleshooting capabilities
  • Ability to complete projects and learn the required skills with minimal guidance
  • Comfortable with using multiple software products and able to troubleshoot computer issue (ability to program, script, administer networks would be plus)
  • Experience communicating and working with cross-functional groups

Preferred Qualifications

  • Experience with Python computer programming and the scientific Python Stack
  • Working knowledge of network troubleshooting tools
  • Experience in areas such as image classification and image segmentation
  • Experience with streaming video analytics over a network
  • Ideal Candidate will have a background understanding in semiconductor processing 
  • Familiarity with Lam Research Process Tool Operations is a plus but not required
  • Experience with lighting systems

Our Commitment

 

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.


All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We Look Forward to Your Application


Nearest Major Market: Portland Oregon

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