شرح موقعیت
We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Join Lenovo's Group CTO KSA RD Center as an AI Research Scientist, where you will help shape the next generation of intelligent systems across robotics, autonomous platforms, smart environments, and industrial AI. This role is ideal for an experienced AI professional passionate about transforming advanced research into scalable, real-world solutions. Working within a global RD environment, you will contribute to the development of cutting-edge AI technologies spanning computer vision, multimodal AI, agentic systems, and Edge AI while collaborating with international research and engineering teams. What You Will Do Research, develop, and optimize AI, machine learning, computer vision, and agentic AI solutions for real-world applications. Design and implement perception systems including object detection, classification, segmentation, tracking, pose estimation, and recognition. Develop AI capabilities for robotics and autonomous systems, including localization, sensor fusion, navigation, prediction, and decision-making. Build and integrate LLMs, VLMs, multimodal models, and AI agents to enhance intelligent reasoning and human-machine interaction. Deploy, monitor, and optimize AI models across edge and cloud environments to meet performance, scalability, latency, and cost objectives. Evaluate emerging AI technologies and foundation models through benchmarking, prototyping, and performance assessment. Collaborate with global research, engineering, and product teams to transition research outcomes into production-ready solutions. Contribute to innovation initiatives through technical publications, patent development, and intellectual property creation. What We Look For Master's degree in Computer Science, Artificial Intelligence, Robotics, Mathematics, or a related technical field. Minimum 3 years of experience developing and deploying machine learning, computer vision, or agentic AI solutions from research to production. Strong expertise in computer vision methodologies including detection, classification, segmentation, tracking, and sensor fusion. Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and OpenCV. Experience working with LLMs, VLMs, multimodal AI systems, foundation models, and autonomous AI applications. Strong programming skills in Python, with working knowledge of C++ preferred. Experience deploying AI solutions on edge and/or cloud platforms with a focus on scalability and operational efficiency. Proficiency in English, with strong analytical, problem-solving, collaboration, and communication skills. A dynamic, international environment within a global technology leader. Strong career development Access to continuous learning platforms. Flexible working models. Competitive compensation and performance-based incentives. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.