Computer Vision Engineer III

Sierra Space•Louisville, CO

About The Position

As a Computer Vision Engineer III, you will leverage a strong focus in optics to develop advanced solutions for processing and analyzing visual data in cutting-edge applications. In this role, you will design and implement computer vision algorithms while leveraging expertise in optical systems, image formation, image exploitation, and sensor technologies to optimize image quality, develop image processing algorithms and determine system performance. You will collaborate with cross-functional teams to integrate vision solutions into hardware and software platforms, ensuring robust and reliable operation in challenging environments. In this role, you will design, architect, and implement advanced computer vision algorithms and models to process and analyze visual data. You will lead the integration and deployment of computer vision solutions into satellite systems, collaborating with cross-functional teams to ensure seamless functionality. Conducting rigorous testing and validation of computer vision systems will be a key responsibility, with a focus on optical performance, image quality, and overall system accuracy and reliability. You will develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency. Maintaining, enhancing, and refactoring existing computer vision systems and algorithms will be critical to improving performance and functionality, particularly in areas such as image preprocessing, calibration, and noise reduction. Additionally, you will document code, processes, and methodologies comprehensively for future reference and team collaboration. Mentoring and guiding junior and mid-level engineers will be an integral part of your role, providing technical leadership and fostering knowledge sharing. Staying abreast of the latest advancements in computer vision, optics, and machine learning technologies, you will apply relevant innovations to current and future projects. You will participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality. Collaborating with product managers and stakeholders, you will define project requirements, deliverables, and timelines, driving innovation and continuous improvement in computer vision techniques and methodologies.

Requirements

Requires bachelor's degree in a related field (or equivalent work experience in lieu of degree or master's +3 yrs experience).
Typically, 5+ years of related experience.
Expertise in one to multiple programming languages and advanced understanding of software development principles.
Experience with different software development methodologies such as Agile and Scrum/Kanban.
Ability to design and architect complex software systems.
Strong problem-solving skills.
Ability to mentor and guide other engineers.
The ability to obtain and maintain a U.S. Security Clearance is required.
U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment.

Nice To Haves

Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
Experience with developing and deploying Image Processing algorithms
In-depth knowledge of machine learning algorithms and techniques.
Prior experience with the design, integration and/or testing of integrated EO/IR systems
Experience with deriving optical system requirements from mission label requirements
Experience characterizing EO/IR Imaging System performance including: MTF, SNR, Distortion, Non-uniformity Characterizations, and Calibration
Experience with satellite systems or aerospace applications.
Proven track record of successfully delivering complex computer vision projects from concept to deployment.
Act as the Subject Matter Expert (SME) for optical sensors, providing technical guidance on sensor selection, calibration, and integration into computer vision systems.
Strong analytical skills and attention to detail.
Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Experience with cloud platforms and services for deploying and scaling computer vision applications.
Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware.
Experience with data annotation and management for training computer vision models.
Knowledge of image processing techniques and tools.
Ability to lead and manage multiple projects simultaneously, ensuring timely delivery and high quality.

Responsibilities

Design, architect, and implement advanced computer vision algorithms and models to process and analyze visual data.
Lead the integration and deployment of computer vision solutions into satellite systems, collaborating with cross-functional teams to ensure seamless functionality.
Conducting rigorous testing and validation of computer vision systems will be a key responsibility, with a focus on optical performance, image quality, and overall system accuracy and reliability.
Develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency.
Maintaining, enhancing, and refactoring existing computer vision systems and algorithms will be critical to improving performance and functionality, particularly in areas such as image preprocessing, calibration, and noise reduction.
Document code, processes, and methodologies comprehensively for future reference and team collaboration.
Mentoring and guiding junior and mid-level engineers will be an integral part of your role, providing technical leadership and fostering knowledge sharing.
Staying abreast of the latest advancements in computer vision, optics, and machine learning technologies, you will apply relevant innovations to current and future projects.
Participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality.
Collaborating with product managers and stakeholders, you will define project requirements, deliverables, and timelines, driving innovation and continuous improvement in computer vision techniques and methodologies.