Lead Principal Applied Scientist - Robotics

Skip to main content. sitemap Profile Sign Out View More Jobs Lead Principal Applied Scientist - Robotics United States Be the First to Apply Job Identification 338681 Job Category Product and Research Posting Date 06/30/2026, 03:02 PM Role Individual Contributor Job Type Regular Employee Does this position require a security clearance? Yes Years 6 to 10+ years Applicants are required to read, write, and speak the following languages English Job Description The IC5 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment. The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning,reinforcement learning, and action-conditioned planning, with a strong bias for hands-on execution and full-stack delivery. Responsibilities Key ResponsibilitiesSolution Identification and StrategyPartner with science, engineering, product, and hardware leaders to identify strategic product needs where robotics, perception, and embodied AI can create measurable customer and business impact.Evaluate academic literature, industry benchmarks, robotics platforms, and commercially viable robot APIs to assess feasibility, technical difficulty, and delivery risks.Break down ambiguous robotics and AI problems into clear research plans, model architectures, data requirements, evaluation criteria, and production milestones.Set science quality standards for applied robotics workstreams, including perception accuracy, latency, robustness, safety, reliability, and operational feedback metrics.Prioritize solutions using the scientific process, including modeling approaches, evaluation techniques, data collection strategies, and risk/reward tradeoffs.Applied Research and Model DevelopmentLead the design and execution of research programs and POCs for sensors, multi-sensor fusion, real-time signal processing, and perception systems.Develop and guide approaches for object detection, tracking, activity recognition, scene understanding, and related perception capabilities in real-world environments.Advance multimodal AI systems that combine signals such as camera, depth, lidar, audio, telemetry, proprioception, and task context.Apply reinforcement learning, action-conditioned planning, decision-making, and reasoning methods to enable robot behaviors that are robust, measurable, and product-relevant.Define dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases.Guide model training, fine-tuning, optimization, inference design, and compute/latency tradeoffs for real-time or near-real-time deployment scenarios.Solution Delivery and Production IntegrationLead full-stack execution across experimentation, data pipelines, model development, evaluation, deployment integration, and production monitoring.Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into...