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
