About the job
Oracle Cloud Infrastructure provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies, and operate more effectively.As Senior Director, Robotics, you will lead a high-impact organization responsible for advancing Oracle’s robotics strategy and delivering the technical, operational, and organizational capabilities required to deploy and manage robotic systems at scale. You will partner across applied science, engineering, product, hardware, security, operations, legal, finance, and executive leadership to translate customer and business needs into secure, reliable, and commercially viable robotics solutions.You will lead teams building production-ready robotics capabilities across perception, sensor fusion, multimodal AI, embodied AI, robot planning, mission execution, telemetry, digital twins, device management, and cloud services. This role requires strong judgment across hardware and software boundaries, the ability to balance scientific innovation with operational rigor, and accountability for delivering scalable robotics platforms that create measurable customer and business value.
Responsibilities
Set the scientific and technical direction for robotics, perception, and embodied AI initiatives.
Lead teams of scientists, data engineers, machine learning engineers, and developers in applied research programs spanning multi-sensor fusion, real-time signals, perception systems, multimodal reasoning, reinforcement learning, planning, and decision-making.
Drive development and deployment of AI capabilities for robotic systems and related cloud services, including data collection, model architecture, training, evaluation, inference design, API integration, observability, and production monitoring.
Partner with science, engineering, product, and hardware leaders to identify product needs where robotics and embodied AI can create measurable customer and business impact.
Define dataset strategy, data quality standards, labeling approaches, synthetic or simulation data opportunities, evaluation protocols, product metrics, and operational feedback loops that guide technical decisions and future strategy.
Recruit, lead, mentor, and develop senior scientists and engineers.
Qualifications
Minimum
15+ years of experience in robotics, machine learning, artificial intelligence, computer vision, perception, signal processing, statistical modeling, data mining, software engineering, or a related field; or equivalent degree-based experience in a relevant technical discipline.
Demonstrated experience leading applied science, research, machine learning, or engineering teams through complex technical programs from ambiguous problem framing through production delivery.
Proven ability to guide high-complexity technical decisions, evaluate tradeoffs, and communicate robotics and AI strategy to executive, technical, product, and cross-functional audiences.
Experience delivering AI, robotics, perception, embodied AI, or multimodal systems into production, customer-facing, or operational environments.
Preferred
Ph.D. in Computer Science, Robotics, Machine Learning, Deep Learning, Electrical Engineering, Mechanical Engineering, Physics, Mathematics, Statistics, or a related field is preferred.
Demonstrated experience leading research and development efforts within cloud services, AI platforms, robotics, embodied AI, computer vision, perception, or related technology organizations.
Exceptional leadership and team management abilities, including experience leading cross-functional teams, developing senior technical talent, and driving successful multi-team programs.
Strong business acumen and ability to align scientific efforts with company strategy, market demand, product priorities, customer impact, and budget constraints.
Excellent communication and presentation skills, with the ability to convey complex technical concepts and tradeoffs to technical and non-technical stakeholders.
Strong analytical and problem-solving skills, including the ability to diagnose production issues, improve observability and reliability, and guide durable root-cause solutions.
Experience creating patents, technical publications, white papers, peer-reviewed articles, design documents, or equivalent technical documentation.
Hands-on or leadership experience with commercial robot platforms, robot SDKs/APIs, simulation environments, telemetry systems, real-time constraints, and safety or reliability requirements.
Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities, customer needs, and emerging technology opportunities.