Engineer - Computer Vision

• Education: PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or a related discipline with 5+ years’ applied experience, OR Master’s Degree plus 8+ years’ experience.\n, * Execution: Proven track record of delivering technical projects and integrating software into functional, real-world systems.\n, * Strategic Thinking: Ability to translate high-level customer requirements into actionable technical development strategies.\n
• Communication: Excellent interpersonal and oral/written English communication skills, with an ability to present to diverse technical and executive audiences.\n
• Innovation: Self-motivated and capable of working independently to pursue new, emerging technical domains within the computer vision field.\n

Activités visant à prouver la validité ou la faisabilité technique d’un concept par l’application de méthodologies scientifiques et techniques. Le travail dans cette famille a généralement pour objectif de démontrer, par le biais de tests ou d’analyses, les performances et le potentiel de mise en \u0153uvre d’un concept.\n \n Exerce un impact sur les approches, projets et programmes du domaine fonctionnel ou de l’organisation et des méthodes de travail affectées. Influe sur la qualité, l’efficacité et l’efficience de sa propre équipe. Contribue significativement à l’élaboration des priorités. Se fonde sur des pratiques et des politiques professionnelles façonnées par le rôle. Le rôle dispose d’une autonomie modérée, nécessitant un haut niveau de discernement opérationnel.\n \n \nJob Description\n \n \nEssential Responsibilities\n \n \n \n

• Research & Development: Develop high-impact technology concepts focused on computer vision algorithms, perception, and system-level integration.\n
• Technical Leadership: Lead and contribute to system architecture, design, and software development lifecycles.\n

• Strategic Engagement: Collaborate with internal and external thought leaders across the computer vision stack to identify and drive new applications and research initiatives.\n, * Technical Expertise: Demonstrated experience in at least three of the following:\n \n

• Systems architecture, design, and integration.\n
• Development of camera and sensor drivers.\n
• Software engineering and architecture for complex systems.\n
• Spatial Awareness: Robotic perception, SLAM, visual odometry, or 3D point cloud processing (e.g., PCL, Open3D).\n
• System Integration: Architecture design, sensor fusion, and driver development for complex camera/lidar arrays\n
• Simulation: Use of synthetic environments (e.g., NVIDIA Isaac Sim, Gazebo) for model training and validation.\n
• Hardware-in-the-loop: Integrating software into operational robotic systems or industrial hardware.\n
• Perception & Learning: Advanced computer vision algorithms, deep learning (PyTorch/TensorFlow), and model optimization for edge deployment.\n \n

\n \n \n, GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.\n \n GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). \n \n \nRelocation Assistance Provided: Yes\n \n For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.\n \n Bonus eligibility: discretionary annual bonus.\n \n This posting is expected to remain open for at least seven days after it was posted on July 23, 2026.\n \n Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.\n \n GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.”, “hiringOrganization”: {“@type”: “Organization”, “name”: “GE Vernova”, “logo”: “https://jobs.military.com/attachments/employer/0/961/152/272.svg”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “12309-1027”, “addressLocality”: “Niskayuna”, “addressRegion”: “New York - NY”}, “@type”: “Place”}, “industry”: “Professional, Scientific, and Technical Services”, “identifier”: {“@type”: “PropertyValue”, “name”: “GE Vernova”, “value”: “2865FAAF8D9BAA17917DCB1073CEF687-dec51f”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“@type”: “QuantitativeValue”, “value”: “Competitive”, “unitText”