Amtec Staffing is hiring: Computer Vision Engineer in Pasadena
Amtec Staffing, Pasadena, CA, United States
Job Title: Computer Vision and Machine Learning Engineer
Duration: 12 Months
Location: Pasdena, CA 91109
Pay: $63.8/hr - $102.15/hr
Schedule: 1st Shift, 9/80
Develop and implement algorithms integrating Computer Vision (CV) and Machine Learning (ML) in support of guidance, navigation and control for spacecraft landing on planetary bodies.
Includes image-based hazard detection (HD) o Includes map-relative localization · Implement and test CV and ML solutions in support of broader GN&C objectives.
Create high-fidelity simulations to validate HD and other vision algorithms.
Required Skills
Bachelor’s degree in a technical discipline with 6 years of relevant experience, or a Masters degree with 4 years of relevant experience, or a Ph.D. with 2 years of relevant experience.
Strong technical background in computer vision and machine learning with specific application to space or space-based systems.
Extensive experience in Software Engineering and the practical implementation of Machine Learning or Computer Vision including for real-time applications.
Proven track record in development, testing, and validation of autonomous, vision-based algorithms in complex environments.
Excellent communication and interpersonal skills, with a proven ability to present findings to diverse stakeholders.
Desired Skills
Experience with Terrain Relative Navigation (TRN) and the integration of vision-based sensors into closed-loop GNC architectures.
Demonstrated experience in technical leadership and managing project resources or mission-specific deliverables.
Expertise in the calibration and error-budgeting of sensors including IMUs, SRUs, LIDAR, and Vision systems
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Duration: 12 Months
Location: Pasdena, CA 91109
Pay: $63.8/hr - $102.15/hr
Schedule: 1st Shift, 9/80
Develop and implement algorithms integrating Computer Vision (CV) and Machine Learning (ML) in support of guidance, navigation and control for spacecraft landing on planetary bodies.
Includes image-based hazard detection (HD) o Includes map-relative localization · Implement and test CV and ML solutions in support of broader GN&C objectives.
Create high-fidelity simulations to validate HD and other vision algorithms.
Required Skills
Bachelor’s degree in a technical discipline with 6 years of relevant experience, or a Masters degree with 4 years of relevant experience, or a Ph.D. with 2 years of relevant experience.
Strong technical background in computer vision and machine learning with specific application to space or space-based systems.
Extensive experience in Software Engineering and the practical implementation of Machine Learning or Computer Vision including for real-time applications.
Proven track record in development, testing, and validation of autonomous, vision-based algorithms in complex environments.
Excellent communication and interpersonal skills, with a proven ability to present findings to diverse stakeholders.
Desired Skills
Experience with Terrain Relative Navigation (TRN) and the integration of vision-based sensors into closed-loop GNC architectures.
Demonstrated experience in technical leadership and managing project resources or mission-specific deliverables.
Expertise in the calibration and error-budgeting of sensors including IMUs, SRUs, LIDAR, and Vision systems
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