Hello,

We have 20 urgent opening for "Computer Vision Engineer" in Sunnyvale, CA (100% Remote Role)

Quick Interview – Urgent Requirement - GLIDER TEST IS MUST

End Client: Walmart

Location: Sunnyvale, CA (100% Remote Role)

Duration: 12 to 18+ Months Long Term Contract

Role: Computer Vision Engineer

Role Summary:

The Senior Computer Vision Engineer will play a critical role in the design, development, and implementation of cutting-edge machine vision solutions, a mechatronic device. This role is multi-disciplinary with responsibility for solving complex problems related to automated inspection, robotics, and computer vision. The ideal candidate will have a proven track record of contributing to innovation in areas like manufacturing automation, quality control, and advanced imaging systems. We are looking for a team player who views medical device development as a competitive advantage.

Responsibilities:

Design and develop machine vision algorithms for object detection, segmentation, classification, tracking, and inspection
Work closely with hardware, software, and robotics teams to integrate machine vision systems into broader automation frameworks
Lead the planning, execution, and delivery of machine vision projects, ensuring alignment with organizational goals and timelines
Improve the performance of machine vision systems by refining algorithms for accuracy, speed, and efficiency
Create prototypes, run simulations, and conduct unit and system testing to validate performance of machine vision solutions in real-world environments
Analyze imaging data to improve system performance and to train machine learning models for improved accuracy and automation
Provide guidance and technical mentorship to junior engineers and team members
Keep up-to-date with the latest advancements in computer vision, machine learning, and automation technologies

Qualifications:

Masters Degree or Ph.D. in Computer Science, Electrical Engineering, or a related field
5+ years of experience in classical image processing
Prior experience performing hardware optimization of code across both CPU and GPU architectures for improved performance and efficiency
Proven track record of delivering successful computer vision projects from concept to implementation
Strong programming skills in both low-level (C++) and high-level languages (Python, MATLAB) with the ability to process large-scale image datasets using Linux/Bash
Expertise in machine vision libraries, such as OpenCV
Experience with image processing techniques, pattern recognition, and feature extraction
Proficiency with camera technologies, lighting techniques, optics, and sensor integration
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to lead and work within cross-functional teams
Attention to detail and a commitment to delivering high-quality results
Familiarity with deep learning / neural networks a plus
Experience in industrial automations, or robotics a plus
Prior experience working with hardware-software integration for vision systems a plus
Familiarity with real-time image processing and optimization for embedded systems a plus
Expertise in Digital Pathology and Machine Vision for the automation of medical diagnostic processes a plus
Experience working within environments that adhere to data security protocols and HIPAA requirements a plus

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