TLM, Embodied AI

Job not on LinkedIn

August 29

Apply Now

Receive Emails with Similar Jobs

Diligent Robotics

WebsiteLinkedInAll Job Openings

Healthcare Insurance • Artificial Intelligence • Robotics

Diligent Robotics is a company that pioneers in integrating robotics into healthcare settings to improve efficiency and patient care. Their flagship robot, Moxi, assists hospital staff by fetching medications, labs, and supplies, significantly reducing the time healthcare professionals spend on non-clinical tasks. Diligent Robotics focuses on enhancing clinical workflows, addressing staff shortages, and ensuring better patient experiences through their innovative robotic solutions.

2 - 10 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $30M Series B on 2022-04

📋 Description

• Lead and grow an embodied-AI team that owns perception, planning, navigation, manipulation, and multimodal ML models, all running on edge platforms. • Define the strategic technical roadmap for the robotics platform and embodied-AI capabilities—from foundational models to real-time onboard inference and control. • Architect and guide development of large multimodal ML models—vision, language, tactile—that drive physical robot behaviors, potentially leveraging foundation model approaches. • Oversee integration between edge AI, firmware, OS, hardware, and cloud services for deployment, monitoring, and continuous improvement. • Provide hands-on leadership: mentor engineers, review code and models, and contribute directly to critical system components. • Ensure AI and robotics systems meet safety, robustness, and regulatory requirements; drive performance metrics like latency, reliability, and interpretability. • Collaborate with cross-functional leaders—product, firmware, backend, customer success—to align AI roadmap with business goals and deployment realities. • Recruit top-tier AI and robotics engineering talent, define team structure, and foster a culture of technical excellence and experimentation.

🎯 Requirements

• MS or PhD in Computer Science, Robotics, ML, EE, or related field along with 8+ years of AI/ML experience. • Proven history of delivering multimodal ML systems into production in real-world, safety-sensitive environments (e.g., robotics, autonomous vehicles). • Strong expertise across perception, path planning, control systems, and model optimization for resource-constrained platforms. • Hands-on technical ability: able to code, train models, debug, and architect systems side-by-side with your team. • Leadership experience in startups or fast-moving R&D environments: you’ve built teams, set direction, and scaled initiatives. • Track record working with foundation or vision-language-action models, physics-based simulation, or embodied-perception pipelines. • Excellent communication: align execs, engineers, and cross-functionally on strategy, trade-offs and results.