Senior Associate – Digital Assurance, Transparency, AI
PwC
TLM, Embodied AI
Diligent Robotics
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
Cloud
About the role
- 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.
