Senior Product Engineer, Sensor Analytics & Vision - Hybrid

LAM RESEARCH Corporation

Tualatin (OR)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits
Hybrid work options
Professional development opportunities

Job summary

A leading semiconductor technology company is seeking a top-tier candidate to work on integration, testing, and analysis of diverse sensor technologies. This role involves collaborating with engineering teams to improve infrastructure for data acquisition and performance validation. The ideal candidate should have a strong background in Electrical Engineering, Computer Science, or related fields, with expertise in signal processing and sensor integration. Competitive perks and a hybrid work model are offered.

Qualifications

  • Strong experience in signal processing, sensor integration, and data analysis for imaging sensors.
  • Proficiency in image processing, computer vision, and time-series analysis algorithms.
  • Expertise in scripting languages such as Python or MATLAB.

Responsibilities

  • Collaborate with cross-functional teams to guide the development of products.
  • Debug optical, electrical, mechanical, and signal integrity issues.
  • Perform comprehensive characterization of imaging sensors and associated signal processing.
  • Develop algorithms and workflows for sensor fusion and anomaly detection.

Skills

Signal processing
Sensor integration
Data analysis
Image processing
Computer vision
Time-series analysis
Python
MATLAB

Education

BS/MS/PhD in Electrical Engineering
BS/MS/PhD in Computer Science
BS/MS/PhD in Mechanical Engineering
BS/MS/PhD in Physics
BS/MS/PhD in Applied Mathematics

Tools

NumPy
SciPy
Pandas
OpenCV

Job description

A leading semiconductor technology company is seeking a top-tier candidate to work on integration, testing, and analysis of diverse sensor technologies. This role involves collaborating with engineering teams to improve infrastructure for data acquisition and performance validation. The ideal candidate should have a strong background in Electrical Engineering, Computer Science, or related fields, with expertise in signal processing and sensor integration. Competitive perks and a hybrid work model are offered.
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