Quick overview
Job description
About the Role
Lead end-to-end software architecture for a robotics platform that connects, manages, and operates fleets of general-purpose robots. This hands-on leadership role sets technical direction across cloud, edge, frontend, and AI systems while helping grow the software team.
What You'll Do
Design the platform architecture across robot connectivity, fleet management, AI capabilities, data pipelines, and model training workflows.
Set technical direction across frontend, backend, robot-side software, and infrastructure, and make key architecture decisions as the team scales.
Write and review production code, especially while establishing foundational abstractions and early platform architecture.
Define safe ways to integrate AI agents, chatbots, and fleet-data learning, including guardrails for systems that control physical robots.
Grow and lead the software platform team, and establish engineering standards and architecture review processes.
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 platforms for hardware, IoT, connected devices, robotics, or fleet management.
Experience designing SaaS systems that manage or control physical devices at scale, with architecture spanning edge, cloud, and frontend.
Recent hands-on production coding experience and ownership of architecture across multiple teams.
Familiarity with distributed systems, WebSockets, gRPC, pub/sub, real-time communication, APIs, data pipelines, fleet management, and edge-cloud architecture.
Experience or interest in AI agent systems, including chatbots, tool use, and multi-step planning, and comfort adopting AI tools in development workflows.
A degree in computer science or a related technical field; startup or early-stage engineering leadership experience is valued.
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 or willing to relocate to the area.
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