Robotics Solution Architect – Humanoid Robots

Intel Corporation

. Lead end-to-end solution architecture for humanoid robotics, defining hardware and software partitioning, subsystem interfaces, compute topology, and deployment requirements .

Posted 11/9/2026full-timeShanghai • ChinaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solution architecture for humanoid robotics, integrating hardware and software components while leading technical engagements and developing comprehensive documentation. Proficient in heterogeneous computing solutions and robotics system architecture, with strong analytical and problem-solving capabilities.

Highest-signal resume keywords

Solution ArchitectureHeterogeneous ComputingRobotics System ArchitectureTechnical EngagementsAI Inference Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RoboticsAI InferenceTechnical SpecificationsSystem-Level TroubleshootingBenchmarking MethodologiesHardware-Software OptimizationIntegration GuidanceReal-Time Control FrameworksRobotics MiddlewareCompute Topology

Soft Skills

Analytical SkillsProblem-Solving SkillsTime ManagementOrganization SkillsPresentation Skills

Tools & Technologies

AI AcceleratorsDevelopment ToolsDebugging ToolsControl SystemsIntegration Reviews

Industry Keywords

Humanoid RoboticsArticulated RobotsMobile RobotsChina Robotics EcosystemSensingPerceptionPlanningActuationComputing InfrastructureTechnical Documentation

About the role

Key responsibilities & impact

Lead end-to-end solution architecture for humanoid robotics, defining hardware and software partitioning, subsystem interfaces, compute topology, and deployment requirements
Translate robot-level requirements into detailed technical specifications
Architect heterogeneous computing solutions across CPUs, GPUs, and AI accelerators
Define software architectures integrating robotics middleware, AI inference runtimes, real-time control frameworks, and development and debugging tools
Integrate embodied AI models and learning-based policies with robot software and control systems
Lead technical engagements with customers and partners, including architecture workshops, technical assessments, proof-of-concept development, integration reviews, and system-level troubleshooting
Establish benchmarking and validation methodologies
Develop reference architectures, technical documentation, and reusable integration guidance
Work across silicon, platform, software, and robotics engineering teams to resolve architectural gaps and translate field requirements into roadmap recommendations

Requirements

What you’ll need

BS or MS in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Control Engineering, or a related technical discipline
Minimum 8 years of industry experience in robotics (Humanoids, Articulated robots, or mobile robots), or a related role
Familiarity with China robotics ecosystem
Strong understanding of robotics system architecture and interactions among sensing, perception, planning, control, actuation, and computing infrastructure
Experience with heterogeneous computing, AI inference deployment, and hardware-software optimization in resource-constrained systems is a strong plus
Excellent written, verbal and presentation skills
Experience writing MRDs/PRDs, marketing collaterals, responding to RFI/RFQs, new product introduction, competitive analysis and product positioning
Experience supporting customers/partners in technical engagements
Strong time-management and organization skills
Strong analytical and problem-solving skills