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Job Details: Job Description: The Role and Impact

This role serves as the authoritative systems architect owning the end-to-end hierarchical stack for next-generation humanoid robots. Acting as the critical interface between large-scale vision-language-action (VLA) models and physical platforms, this senior leader defines hierarchical multi-system architecture requirements and drives the co-optimization of advanced AI models with physical hardware under tight power, thermal, latency, and memory-bandwidth constraints.

Key Responsibilities

• Humanoid Robotic System Architecture Ownership: Own the canonical hierarchical control stack, including VLM/VLA systems, visuomotor policies, whole-body control, and distributed joint FOC loops. You will also establish rate boundaries, latency budgets, action-chunking strategies, and select interconnect topologies (e.g., EtherCAT).


• AI Model Optimization for Silicon: Drive co-optimization of large VLA/world models with compute silicon. Define quantization, sparsity/MoE, context lengths, and reference deployment envelopes to align model workloads with silicon capabilities.


• Co-Optimized Model + Hardware Architecture: Perform first-principles sizing of FLOPs, sustained TOPS, and memory-bandwidth floors. Select optimal compute platforms and design strategic splits of AI workloads between central compute nodes and remote sensor pods.

Key Deliverables with Cross-Functional Impact

Author and maintain primary system-level specifications (compute, power, thermal, sensors, actuator networks, safety islands) and translate high-level product goals into actionable, quantitative requirements. Guide evolution of relevant technology roadmaps from current baselines to future system concepts that would influence product definition.

Cross-Functional Authority

Lead multi-disciplinary architecture reviews, key decisions, and subsystem design trades across ML research, controls, electrical, firmware, and mechanical teams.

Collaborative Experimentation and Mentorship

Formulate and guide expert-led viability experiments. Mentor senior engineers in system-level thinking, addressing critical hardware barriers like the memory and power walls, and represent the platform architecture with key external silicon and actuator partners.

Architectural Expertise

Proven ownership of architectures bridging high-level AI models with real-time hardware control, alongside deep fluency in transformer inference constraints (quantization, action chunking, memory bandwidth walls) and real-time distributed systems (EtherCAT, zonal sensor pods, safety islands). Exceptional technical communication with a track record of writing rigorous, quantitative system specs and driving alignment across diverse engineering domains.

Qualifications

• Minimum Qualifications: Core Experience: 10+ years in complex cyber-physical systems, with 4-5 years specializing in robotics, autonomous systems, or high-performance edge AI platforms.


• BS in Engineering, Computer Science, Math, or related field is required.


• Preferred Assets: Direct experience with humanoid robots/mobile manipulators, hands-on exposure to VLA/foundation models (-series, Helix-class, GR00T, OpenVLA, or equivalent), expertise with robotics platforms (NVIDIA Jetson / IGX platforms, custom AI silicon, or both), and battery/thermal budgeting for highly constrained systems.

Job Type & Location

• Job Type: Experienced Hire


• Shift: Shift 1 (United States of America)


• Primary Location: US, Oregon, Hillsboro


• Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Annual Salary Range

Annual Salary Range for jobs which could be performed in the US: $220,920.00-361,480.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.