Computer Vision Engineer Jobs

About The Position

Requirements

• 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.
• 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.
• Conduct rigorous testing and validation of computer vision systems, ensuring exceptional performance, accuracy, and reliability.
• Develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency.
• Maintain, enhance, and refactor existing computer vision systems and algorithms to improve performance and functionality.
• Document code, processes, and methodologies comprehensively for future reference and team collaboration.
• Mentor and guide junior and mid-level engineers, providing technical leadership and fostering knowledge sharing.
• Stay abreast of the latest advancements in computer vision and machine learning technologies and apply relevant innovations to current and future projects.
• Participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality.
• Collaborate with product managers and stakeholders to define project requirements, deliverables, and timelines, driving innovation and continuous improvement in computer vision techniques and methodologies.
• Act as the Subject Matter Expert (SME) for optical sensors, providing technical guidance on sensor selection, calibration, and integration into computer vision systems.

Benefits

• Medical plans
• Dental plans
• Vision plans
• 401(k) with 150% match up to 6%
• Life insurance
• 3 weeks paid time off