Principal/Senior Robotics AI Architect

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems

Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary

When you join AMD, you’ll discover the real differentiator is our culture

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives

Join us as we shape the future of AI and beyond.  Together, we advance your career.  

THE ROLE:

We are seeking a Robotics AI Architect to define and scale next-generation Physical AI systems, with a focus on complex robotic platforms (including humanoids)

This role emphasizes architectural leadership across multi-layer AI control loops and tight collaboration with lighthouse customers to achieve production-grade performance targets.

THE PERSON:

As a key technical authority, you will synthesize learnings from real-world deployments and translate them into platform-defining capabilities, shaping the roadmap for our AI SDKs, runtime, and reference architectures to enable broad ecosystem scalability.

KEY RESPONSIBILITIES: 

1. End-to-End AI Control Loop Architecture (Core Focus)

• Define architecture for hierarchical AI control loops, including:
• Perception (sensor fusion, VLMs, state estimation)
• World modeling and scene understanding
• Task and motion planning
• Low-latency control and actuation
• Learning and adaptation loops
• Establish timing models and system-level constraints:
• Deterministic execution for control loops (µs–ms)
• Bounded latency for perception/planning (ms-scale)
• Guide architectural decisions to:
• Minimize latency, jitter, and data movement
• Optimize compute utilization across heterogeneous systems
• Influence compute-software co-design across CPU, GPU, and accelerators

1. Lighthouse Customer Co‑Engineering

• Act as architectural lead for strategic/lighthouse customers, guiding:
• System design decisions
• Performance trade-offs
• Deployment architecture
• Influence customer implementations to align with:
• Platform best practices
• Scalable architectural patterns
• Translate real-world constraints (latency, power, safety) into:
• Platform requirements
• Architecture refinements
• Lead deep technical engagements, including:
• Architecture and design reviews
• Performance tuning strategies
• System-level debugging approaches

1. Influencing Robotics Reference Architectures, Platform Architecture & SDKs

 Define reference architecture for complex robotic systems (humanoids, high-DoF manipulators, mobile manipulation platforms), establishing industry-leading blueprints for Physical AI systems

• Influence architectural partitioning strategies across:
• On-robot compute (real-time loops)
• Edge/accelerator subsystems
• Cloud (training, simulation, fleet learning)
• Provide architectural guidance on:
• Whole-body control integration
• Locomotion and balance systems
• Dexterous manipulation pipelines
• Multi-modal perception stacks
• Serve as a bridge between lighthouse deployments and platform evolution, translating system-level insights into:
• SDK feature direction
• Runtime and middleware enhancements
• Reference pipeline abstractions
• Shape the roadmap of:
• Physical AI SDK and runtime frameworks
• Robotics middleware integrations (ROS2 and beyond)
• Dataflow and scheduling architectures for deterministic execution
• Identify systemic gaps and influence solutions in:
• Scheduling and orchestration models
• Memory and dataflow efficiency
• Inter-process/inter-node communication