TLM, Embodied AI at Diligent Robotics

Wake Forest, North Carolina, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Embodied AIRoboticsPerceptionPlanningNavigationManipulationMultimodal MLFoundation ModelsEdge AIFirmwareControl SystemsInferenceVision ModelsLanguage ModelsTactile Sensing

Questions & Answers

Common questions about this position

What education and experience are required for the TLM, Embodied AI role?

The role requires an MS or PhD in Computer Science, Robotics, ML, EE, or related field, along with 8+ years of AI/ML experience.

What key technical skills are needed for this position?

Candidates need proven history of delivering multimodal ML systems into production in safety-sensitive environments, strong expertise in perception, path planning, control systems, and model optimization for resource-constrained platforms, plus hands-on ability to code, train models, debug, and architect systems.

What leadership experience is expected for this role?

Leadership experience in startups or fast-moving R&D environments is required, including building teams, setting direction, scaling initiatives, mentoring engineers, and recruiting top-tier talent.

What is the company culture like at Diligent Robotics?

The company has a mission-driven, venture-backed startup environment that emphasizes technical excellence, experimentation, hands-on leadership, mentoring, and collaboration with cross-functional teams.

What makes a strong candidate for the TLM, Embodied AI position?

A strong candidate has a track record with foundation or vision-language-action models, physics-based simulation, or embodied-perception pipelines, plus excellent communication skills to align executives, engineers, and cross-functional teams.

Diligent Robotics

Develops robots to assist healthcare staff

About Diligent Robotics

Diligent Robotics develops robots like Moxi to assist hospital staff with routine tasks, allowing healthcare professionals to focus more on patient care. Moxi can perform activities such as delivering lab samples and supplies within hospitals, which can save staff up to 30% of their workday. This helps improve operational efficiency and enhances the patient experience. The company uses an A.I. framework that includes social intelligence and human-guided learning to enable Moxi to navigate hospital environments effectively. Unlike competitors, Diligent Robotics focuses specifically on healthcare, providing tailored robotic solutions that integrate seamlessly into hospital workflows. The goal is to transform healthcare by improving staff productivity and patient care through the use of robotics.

Austin, TexasHeadquarters

2017Year Founded

$68.9MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Competitive salary & equity

Competitive health plan coverage

Risks

Increased competition from well-funded robotics companies in the USA, China, and Israel.

Maintaining a competitive edge in AI innovation is a constant challenge.

Gender disparity in robotics may impact talent acquisition and retention.

Differentiation

Diligent Robotics' Moxi robot specializes in hospital logistics, enhancing staff efficiency.

Moxi's social intelligence and human-guided learning set it apart in healthcare robotics.

Diligent Robotics focuses on operational efficiency, aligning with value-based care models.

Upsides

Diligent Robotics raised $25 million to expand Moxi's reach in hospitals.

Moxi completed 110,000 autonomous elevator rides, showcasing advanced mobility capabilities.

Growing demand for robotic solutions in healthcare boosts Diligent Robotics' market potential.

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