Staff Computer Vision Engineer

Job DetailExperience Level StaffDegree Type Master of Science (MS)Employment Full TimeWorking Type On SiteJob Reference 0000015205Salary Type AnnuallyIndustry Aerospace & DefenseSelling Points Lead advancements in computer vision for autonomous systems and embedded technologies. Collaborate with experts to design innovative solutions and drive impactful innovation. Shape the future of autonomous systems with cutting-edge technologies.Job DescriptionOverviewDrive innovation in computer vision, developing cutting-edge solutions for autonomous systems and embedded technologies.Collaborate with multidisciplinary teams to integrate advanced vision algorithms into hardware platforms seamlessly.Optimize machine learning models for real-time applications, ensuring reliability and high performance.Provide technical leadership and mentorship to engineers specializing in computer vision and machine learning.Define and implement testing protocols to validate system performance under diverse conditions.Support the transition from prototype development to production-grade systems with robust deployment strategies.Stay abreast of emerging trends in computer vision and machine learning to maintain competitive expertise.Contribute to groundbreaking advancements in autonomous systems technology.Key Responsibilities & DutiesDevelop and implement advanced computer vision algorithms optimized for autonomous systems and embedded environments.Collaborate with hardware engineers to integrate vision capabilities effectively into embedded platforms.Optimize machine learning models for embedded environments, ensuring high reliability and performance.Design and execute testing strategies to validate system robustness across operational conditions.Mentor junior team members, fostering expertise in machine learning and computer vision methodologies.Contribute to the development of production-grade systems, ensuring adaptability and compliance with rigorous standards.Collaborate with interdisciplinary teams to address complex engineering challenges and advance autonomous technologies.Stay updated on emerging trends in computer vision and machine learning to drive innovation.Job RequirementsMaster’s degree or higher in Computer Science, Electrical Engineering, or related field with specialization in computer vision and machine learning.Minimum of 9 years of experience in developing machine-learning-based computer vision systems, preferably for autonomous platforms.Proficiency in programming languages such as Python and C++, with experience in ML frameworks like PyTorch or TensorFlow.Extensive experience with embedded systems and integration of vision algorithms into hardware environments.Familiarity with multi-sensor systems, including cameras, LiDAR, and radar technologies.Proven ability to deploy real-time and safety-critical computer vision solutions in production settings.Strong collaborative skills and a passion for mentoring and interdisciplinary problem-solving.Commitment to driving innovation and advancing autonomous system capabilities.