In this role, you will define how K7 perceives, reasons about, and responds to security threats to make our world safer. Drawing on embodied AI principles, you will be a technical lead working across robotics, systems integration, and cloud engineering to ship the autonomy contract layer: the canonical event model, the reasoning policy, and the evidence integrity chain that make K7 not just an observer but a reliable, auditable actor in the field. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Own the full intelligence-to-action loop: from K7's raw detection stream through entity reasoning, world-state modeling, and incident hierarchy, to policy decisions that drive safe, bounded robot behavior. • Design and maintain the canonical event contract: a single, normalized message shape across all detection types that feeds the cloud incident system, versioned and replay safe. • Interface the autonomy policy layer with the motion planning stack: define what the intelligence layer can recommend, what the safety arbiter validates, and what gets passed to controls for execution. • Build the closed-loop learning pipeline: operator outcomes, incident dispositions, and retained evidence feed model evaluation and retraining without modifying the safety boundary • Drive technical decisions on architecture, integration contracts, and roadmap; mentor engineers across the team. Required Qualifications • 7+ years of hands-on experience at an OEM, AV company, physical security platform, or robotics tech company shipping autonomy or systems integration software to production. • Strong systems architecture skills: canonical API and event-driven pipeline design, distributed store-and-forward, and schema-governed message contracts. • Hands-on cloud-to-robot integration experience, message brokers, deduplication, replay-safe ingest, and understanding of graceful degraded-mode design. • Solid understanding of robotics control loops, motion planning interfaces, and the boundary between advisory autonomy and deterministic safety-critical control, with hands-on experience in state machines, behavior trees, or safety arbitration layers. • Strong C++ and Python; experience with ROS2 and mission-state machine design. • Production-first mindset, demonstrated ability to define and enforce interface contracts between hardware-side and cloud-side teams. Preferred Qualifications • MS or PhD in Robotics, Computer Science, Systems Engineering, or related field. • Exposure to embodied AI concepts or systems: unified perception-reasoning-action architectures, foundation models for robot control, or end-to-end policy learning in deployed autonomous platforms. • Familiarity with functional safety standards, ISO 26262 or SOTIF, particularly as they apply to the boundary between advisory autonomy and deterministic safety-critical control. • Experience building data flywheel pipelines for safety-critical ML systems. • Familiarity with evidence integrity and chain-of-custody requirements for security or legal contexts. Compensation & Benefits • Base Salary: $240,000 to $275,000 (DOE) • Equity: Stock options • Benefits: Medical, dental, vision, 401(k), paid time off • Location Requirement: Full-time, on-site at Sunnyvale HQ