Kelly Science, Engineering, Technology & Telecom
Optical System Engineer
Kelly Science, Engineering, Technology & Telecom, Santa Clara, California, United States, 95050
Job Title: Image Processing EngineerPay rate: Open for discussionDuration: 6 -9 monthsW2 contract only (No C2C)Location- Remote (office location Santa Clara, CA) ( remote position, but the individual will need to travel on-site a few times to work with the hardware. (The expense will be reimbursed).
SummaryTeam is looking for a highly motivated Optical System Engineer to deliver the promise of Precision Agriculture to the world’s farm fields. In this role, you will collaborate with our team to optimize image processing systems for computer vision and machine learning on large datasets from our agricultural robotic systems. We tackle our objectives with multi-functional engineering teams of systems and embedded software, test and QA, mechatronics, computer vision, and machine learning engineers. Our team is empowered to figure out how to overcome challenges, and plan and prioritize work – everyone is a key contributor.
Job ResponsibilitiesMain job responsibilities include:Drive system level specifications for image processing systems and CVML applicationsOptimize ISPs for image quality for human and machine visionCreate image quality metrics from robotic systems utilizing 4-band imageryMake photographic decisions based on machine learning metrics and model evaluation from robotic tasksDevelop image processing algorithms for image quality analysis for low-latency CV applications including feature detection and object trackingCollaborate closely with cross-disciplinary functions including hardware, software, and machine learning engineers
Required Experience and SkillsBS or higher in Engineering or technical fields such as Engineering, Computer Science, Robotics, Physics, Mathematics, or Data Science5+ related industry experienceExperience with kernel camera drivers, programming ISPs, preprocessing pixel data and feeding images to inference pipelinesUnderstanding of model evaluation for robotic tasksExcellent cross-functional collaboration with strong written and verbal skillsPreferred Experience and SkillsExperience developing optical systems, computer vision algorithms, and image analysis for large photographic data setsExperience with Python, C/C++, MATLABExperience with machine learning for processes such as object classification, depth estimation, model training, image labeling for large datasetsUnderstanding of Deep Learning models with large-scale datasetsExperience with sensor integration and vision systems on autonomous vehicles or robotic systemsUnderstandings of methods to optimize machine learning model inference on embedded devices
*** If this position may be interested to you, please email me back at somp767@kellyservices.com with your most up to date resume in word format) and advise the best time and number at which you can be reached****
SummaryTeam is looking for a highly motivated Optical System Engineer to deliver the promise of Precision Agriculture to the world’s farm fields. In this role, you will collaborate with our team to optimize image processing systems for computer vision and machine learning on large datasets from our agricultural robotic systems. We tackle our objectives with multi-functional engineering teams of systems and embedded software, test and QA, mechatronics, computer vision, and machine learning engineers. Our team is empowered to figure out how to overcome challenges, and plan and prioritize work – everyone is a key contributor.
Job ResponsibilitiesMain job responsibilities include:Drive system level specifications for image processing systems and CVML applicationsOptimize ISPs for image quality for human and machine visionCreate image quality metrics from robotic systems utilizing 4-band imageryMake photographic decisions based on machine learning metrics and model evaluation from robotic tasksDevelop image processing algorithms for image quality analysis for low-latency CV applications including feature detection and object trackingCollaborate closely with cross-disciplinary functions including hardware, software, and machine learning engineers
Required Experience and SkillsBS or higher in Engineering or technical fields such as Engineering, Computer Science, Robotics, Physics, Mathematics, or Data Science5+ related industry experienceExperience with kernel camera drivers, programming ISPs, preprocessing pixel data and feeding images to inference pipelinesUnderstanding of model evaluation for robotic tasksExcellent cross-functional collaboration with strong written and verbal skillsPreferred Experience and SkillsExperience developing optical systems, computer vision algorithms, and image analysis for large photographic data setsExperience with Python, C/C++, MATLABExperience with machine learning for processes such as object classification, depth estimation, model training, image labeling for large datasetsUnderstanding of Deep Learning models with large-scale datasetsExperience with sensor integration and vision systems on autonomous vehicles or robotic systemsUnderstandings of methods to optimize machine learning model inference on embedded devices
*** If this position may be interested to you, please email me back at somp767@kellyservices.com with your most up to date resume in word format) and advise the best time and number at which you can be reached****