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Robotics Solution Architect – Quadruped Robots
Intel Corporation. Lead end-to-end solution architecture for quadruped robotics, including hardware/software partitioning, subsystem interfaces, compute topology, and deployment requirements.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture for quadruped robotics, integrating hardware and software components while ensuring performance, reliability, and cost-effectiveness. Proficient in collaborating with cross-functional teams to address architectural challenges and develop comprehensive technical documentation.
Highest-signal resume keywords
Robotics System ArchitectureHeterogeneous Computing SolutionsAI Inference DeploymentTechnical EngagementsTechnical Documentation
ATS Keywords
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Hard Skills
RoboticsSolution ArchitectureHardware-Software OptimizationSensor FusionMotion PlanningControl SystemsReal-Time Control FrameworksTechnical SpecificationsBenchmarking MethodologiesIntegration Guidance
Soft Skills
Excellent Written CommunicationVerbal CommunicationPresentation SkillsTime ManagementAnalytical Problem-Solving
Tools & Technologies
Robotics MiddlewareAI Inference RuntimesDevelopment ToolsDebugging Tools
Industry Keywords
Quadruped RoboticsChina Robotics EcosystemMobile RobotsHumanoidsArticulated Robots
About the role
Key responsibilities & impact- Lead end-to-end solution architecture for quadruped robotics, including hardware/software partitioning, subsystem interfaces, compute topology, and deployment requirements.
- Translate robot-level requirements into technical specifications balancing performance, real-time responsiveness, power, thermal constraints, reliability, and cost.
- Architect heterogeneous computing solutions across CPUs, GPUs, and AI accelerators for perception, sensor fusion, localization, motion planning, and control.
- Define software architectures integrating robotics middleware, AI inference runtimes, real-time control frameworks, and development/debugging tools.
- Integrate embodied AI models and learning-based policies with robot software and control systems.
- Lead customer and partner technical engagements, architecture workshops, assessments, proofs of concept, integration reviews, and system troubleshooting.
- Establish benchmarking and validation methodologies for latency, throughput, timing determinism, power efficiency, and sustained operation.
- Develop reference architectures, technical documentation, and reusable integration guidance.
- Collaborate across silicon, platform, software, and robotics engineering teams to resolve architectural gaps and inform 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 5 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.
- On-site presence required.