Tech Lead Manager, Embodied AI

Diligent Robotics; Thélus; Sur place; EUR 85 000 - 110 000; Plein temps

Résumé du poste

A robotics technology company in Hauts-de-France is looking for a Tech Lead/Manager for Embodied AI. In this hands-on leadership role, you will lead a team to develop multimodal AI systems for robotics. You will define and guide the strategic roadmap while ensuring safety and performance metrics are met. You are expected to have extensive AI/ML experience and a strong background in robotics. This role offers an exciting opportunity to innovate in a fast-paced startup environment.

Qualifications

• 8+ years of AI/ML experience in safety-sensitive environments.
• Proven history of delivering multimodal ML systems.
• Strong expertise in perception, path planning, and control systems.

Responsabilités

• Lead an embodied-AI team developing multimodal ML models.
• Define strategic technical roadmap for robotics platform.
• Collaborate with cross-functional leaders to align AI roadmap.

Connaissances

Leadership

Multimodal ML systems

Perception

Navigation

Machine Learning (ML)

Formation

MS or PhD in Computer Science, Robotics, ML, EE

Outils

Robotics software stack

Description du poste

What we’re doing isn’t easy, but nothing worth doing ever is.

We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven, venture-backed team as we build out current and future generations of humanoid robots.

As the Tech Lead/Manager, Embodied AI, you’ll lead a mission-critical team: building the AI that lives on the robot. You’ll own the robotics software stack (core robotics behaviors, and robotics platform, middleware, etc.) and the multimodal end to end models that enable perception, navigation, manipulation and adaptive collaboration.

This is hands-on leadership in a startup setting: you’ll lead, build, mentor, and code as well as ensure the end-to-end system works in the real world.

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 and Experience

• 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.