Job DetailExperience Level Sr LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type On SiteJob Reference 0000015203Salary Type AnnuallyIndustry Aerospace & DefenseSelling Points Drive innovation in computer vision technologies for autonomous systems. Collaborate on multidisciplinary projects in a creativity-focused environment. Advance your career while mentoring and inspiring engineering talent.Job DescriptionOverviewLead the development of cutting-edge computer vision technologies for autonomous systems, ensuring high performance and reliability in diverse applications.Architect and optimize machine learning models tailored for embedded platforms, balancing computational efficiency and accuracy.Collaborate with multidisciplinary teams to integrate advanced vision capabilities into complex hardware systems seamlessly.Conduct rigorous testing and validation to ensure robustness and reliability across diverse operational scenarios.Mentor and inspire junior engineers, fostering innovation and technical excellence within the team.Engage in dynamic projects within a collaborative environment that values creativity and technical expertise.Contribute to the development of high-performance systems tailored to specific operational requirements.Key Responsibilities & DutiesDesign and implement sophisticated computer vision algorithms for real-time autonomous systems.Develop and deploy machine learning models optimized for embedded hardware platforms.Integrate vision algorithms with multi-sensor systems, including cameras, LiDAR, and radar.Validate system performance under diverse environmental and operational conditions.Collaborate with cross-functional teams to ensure seamless integration and functionality.Provide technical mentorship and guidance to junior engineers, fostering team development.Contribute to transitioning prototypes into fully operational systems meeting stringent requirements.Job RequirementsBachelor’s degree or higher in Computer Science, Electrical Engineering, or related field.6+ years of experience in computer vision and machine learning systems development.Proficiency in programming languages such as Python and C++.Experience with machine learning frameworks like PyTorch or TensorFlow.Knowledge of embedded systems and hardware integration techniques.Familiarity with multi-sensor systems, including cameras, LiDAR, and radar.Strong collaborative skills and a passion for mentoring and problem-solving.
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