Job Listing ID:

4522368

Job Title:

Lead Principal Applied Scientist - Robotics

Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

07/02/2026

Hours Worked Per Week:

Not Provided

Shift:

Not Provided

Duration of Job:

Either Full or Part Time, more than 6 months

SR You may contact this employer directly.

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Job Summary 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 Responsibilities Solution Identification and Strategy Partner 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 Development Lead 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 Integration Lead 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 robotic systems and services. Evaluate and review high-complexity code, establish best practices for repositories, version control, code review, documentation, testing, and delivery readiness. Define operational metrics and user feedback loops to assess delivered solutions in production and inform future technical strategy. Serve as an escalation point for complex robotics, AI, perception, and systems integration issues, driving root-cause analysis and durable solutions. Research Leadership and Influence Computer and Information Research Scientists

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Compensation

Not Provided

Job Requirements

Experience Required:

See Job Summary

Education Required:

None

Minimum Age:

N/A