TL;DR
Staff Diagnostics Engineer (Robotics): Define, architect, and validate the on-board diagnostics framework for humanoid robots with an accent on system-level fault behavior, embedded systems, and service engineering principles. Focus on designing robust diagnostics architecture, fault detection, health monitoring, and scalable diagnostic readiness across hardware and software subsystems.
Location: San Jose, CA, onsite 5 days/week
Salary: $150,000–$250,000 annually
Company
hirify.global is an AI robotics company developing autonomous general-purpose humanoid robots engineered for home and commercial markets.
What you will do
- Define architecture, requirements, and KPIs for on-board diagnostics, fleet health, and reliability tracking
- Develop fault detection, health monitoring, event logging, and telemetry frameworks across subsystems
- Collaborate with firmware and hardware teams to embed diagnostic hooks and validation coverage
- Build service tools and analytics dashboards for diagnostic readiness and fleet operations
- Mentor engineers and interface with systems integration, manufacturing, and field service teams
Requirements
- Must be located in San Jose, CA with onsite presence 5 days/week
- 8+ years experience in diagnostics, telemetry, or fault management for electromechanical or embedded platforms
- Strong understanding of system-level fault behavior, sensor validation, and communication protocols (CAN, Ethernet, UDS)
- Proficiency in Python, C++, or similar languages for data analysis and automation
- Experience with test instrumentation, data logging, and failure analysis tools
- Degree in Electrical, Computer, Mechanical, Mechatronics, or Systems Engineering or equivalent
Nice to have
- Experience with diagnostics in Autonomous Vehicles, Robotics, Automotive, or Aerospace
- Familiarity with OBD-II, UDS, or similar diagnostic standards
- Experience developing fleet-scale telemetry and analytics systems
- Background in embedded firmware development or hardware-in-the-loop testing
- Leadership experience in diagnostic strategies or service engineering
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