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# Solution Architect, Physical AI Data

- **Company:** Lightwheel Limited
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Computer Vision, Software Debugging, Linux, Python (Programming Language), DataOps, Systems Integration, AI Infrastructure, Isaac Sim, Unreal Engine, NVIDIA Omniverse
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/solution-architect-physical-ai-data-mountain-view-ca--86bd8c4b-1ddd-4274-935a-18bf0e9477e4

## About the Role

Artificial Intelligence (AI), Technical/Engineering Design, Robotics, Artificial Intelligence (AI), Technical Leadership, Data Collection, Simulation, Architectural Design, Data Analysis, Training Data Sets, * 3+ years experience in solutions architecture, solutions engineering, technical consulting, robotics, AI infrastructure, or related fields.

 * Strong technical foundation in robotics, AI, computer vision, simulation, synthetic data, or autonomous systems.
 * Proficiency in Python and Linux, with hands-on experience in prototyping, debugging, and system integration.
 * Excellent customer-facing communication, problem-solving, and cross-functional collaboration skills.
 * Fluent in English and Mandarin.

Preferred Skills

 * Experience with AI labs, robotics companies, automotive OEMs, or industrial customers.
 * Familiarity with Isaac Sim, MuJoCo, NVIDIA Omniverse, ROS, Unity, or Unreal Engine.
 * Experience in solutions engineering, forward-deployed engineering, technical consulting, or pre-sales/post-sales technical roles.

## Description

* Technical Solution Design - Translate customer requirements into technical solutions, define solution architecture, and develop implementation roadmaps.
 * Customer Discovery - Lead technical discussions with AI, robotics, and engineering teams to understand workflows and identify technical requirements.
 * End-to-End Architecture - Design solutions covering data collection, annotation, simulation, synthetic data, evaluation, sim-to-real, and deployment.
 * Solution Validation - Build prototypes, pilots, demos, and PoCs to validate technical feasibility and performance.
 * Technical Leadership - Drive solution delivery across the lifecycle and coordinate Product, Engineering, Data Operations, Hardware Operations, and Business Development teams.
 * Best Practices & Playbooks - Develop reusable solution frameworks, reference architectures, and technical playbooks.