Head of Software Architecture, Embodied AI Platform
True Talent Solutions Partners · On site, Santa Clara, US
250 000 - 400 000 USD / An · Publiée le 12 nov. 2026
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À propos du poste
ABOUT THE ROLE
Lead end-to-end software architecture for a platform that connects and operates fleets of general-purpose robots. This hands-on leadership role sets technical direction across cloud, edge, frontend, and AI capabilities while helping grow the engineering team.
WHAT YOU'LL DO
- Design and own the architecture for robot connectivity, fleet management, AI features, data pipelines, and model-training workflows.
- Set technical direction across frontend, backend, robot-side software, and infrastructure, making key decisions as the platform scales.
- Write and review production code, especially while establishing foundational architecture and abstractions.
- Integrate AI agents and learning capabilities safely, with appropriate guardrails for physical robots.
- Grow and lead the platform engineering team, setting engineering standards and architecture review practices.
WHAT WE'RE LOOKING FOR
- At least 8 years of experience in full-stack platform architecture, with ownership of system design across distributed backends and frontend.
- Staff- or Principal-level experience architecting SaaS platforms that manage connected devices or physical hardware at scale.
- Strong distributed systems and edge-to-cloud architecture skills, including experience with IoT, fleet management, real-time communications, WebSockets, gRPC, pub/sub, APIs, data pipelines, and OTA updates.
- Demonstrated hands-on coding ability and recent production code contributions, along with experience owning architecture across multiple teams.
- A degree in computer science or a related technical field, and familiarity with AI agents, tool use, or multi-step planning.
- Comfort adopting AI tools in day-to-day engineering work; startup or early-stage leadership experience is valuable.
COMPENSATION & BENEFITS
Base salary: $250,000 to $400,000 annually. Visa sponsorship is not available.
LOCATION
On-site in Santa Clara, California, United States. Candidates should be based in the area or willing to relocate.
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