Figure
Staff Diagnostics Engineer
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Figure .
Figure is an AI robotics company developing autonomous general‑purpose humanoid robots. The goal is to ship humanoid robots with human‑level intelligence. The robots are engineered to perform a variety of tasks in the home and commercial markets. Based in San Jose, CA, the position requires 5 days/week in‑office collaboration.
We are seeking a Staff Diagnostics Engineer to define, architect, and validate the on‑board diagnostics framework for Figure’s humanoid robot platform. The role is responsible for developing the systems that monitor robot health, detect faults, and enable serviceability across compute, power, actuation, locomotion, and sensing systems. You will collaborate with hardware, firmware, controls, behaviors and systems integration teams to ensure every subsystem reports accurate, actionable diagnostic data in real time.
Key Responsibilities
Define the architecture, requirements, and KPIs for on‑board diagnostics, fleet health, and reliability tracking.
Develop frameworks for fault detection, health monitoring, event logging, and fleet‑wide telemetry across all subsystems.
Collaborate with firmware and hardware teams to embed diagnostic hooks, self‑tests, and validation coverage, driving root‑cause analysis and closed‑loop feedback to design updates.
Build service tools and analytics dashboards that enable scalable diagnostic readiness, maintenance planning, and fleet operations.
Mentor engineers developing diagnostic logic, tools, and infrastructure while interfacing with systems integration, manufacturing, and field service.
Requirements
8+ years developing diagnostics, telemetry, or fault‑management systems for complex electromechanical or embedded platforms.
Strong understanding of system‑level fault behavior, sensor validation, and communication protocols such as CAN, Ethernet, or UDS.
Proficiency in Python, C++, or similar languages for data analysis, validation, and automation.
Skilled with test instrumentation, data logging, and failure analysis tools to support root‑cause investigations.
Proven ability to architect and validate cross‑disciplinary diagnostic systems; degree in Electrical, Computer, Mechanical, Mechatronics, or Systems Engineering (or equivalent).
Bonus Qualifications
Previous ownership of diagnostic systems in Autonomous Vehicles, Robotics, Automotive or Aerospace.
Familiarity with OBD‑II, UDS, or similar diagnostic standards and data frameworks.
Experience developing fleet‑scale telemetry and analytics systems for fault detection and trending.
Background in embedded firmware development or hardware‑in‑the‑loop testing.
Leadership experience defining diagnostic strategies or developing service engineering capabilities.
The US base salary range for this full‑time position is between $150,000 and $250,000 annually. The pay offered may vary based on several individual factors, including job‑related knowledge, skills, and experience. The total compensation package may also include additional components or benefits depending on the specific role; this information will be shared if an employment offer is extended.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Other
Industries:
Machinery Manufacturing
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– Join to apply for the Staff Diagnostics Engineer role at
Figure .
Figure is an AI robotics company developing autonomous general‑purpose humanoid robots. The goal is to ship humanoid robots with human‑level intelligence. The robots are engineered to perform a variety of tasks in the home and commercial markets. Based in San Jose, CA, the position requires 5 days/week in‑office collaboration.
We are seeking a Staff Diagnostics Engineer to define, architect, and validate the on‑board diagnostics framework for Figure’s humanoid robot platform. The role is responsible for developing the systems that monitor robot health, detect faults, and enable serviceability across compute, power, actuation, locomotion, and sensing systems. You will collaborate with hardware, firmware, controls, behaviors and systems integration teams to ensure every subsystem reports accurate, actionable diagnostic data in real time.
Key Responsibilities
Define the architecture, requirements, and KPIs for on‑board diagnostics, fleet health, and reliability tracking.
Develop frameworks for fault detection, health monitoring, event logging, and fleet‑wide telemetry across all subsystems.
Collaborate with firmware and hardware teams to embed diagnostic hooks, self‑tests, and validation coverage, driving root‑cause analysis and closed‑loop feedback to design updates.
Build service tools and analytics dashboards that enable scalable diagnostic readiness, maintenance planning, and fleet operations.
Mentor engineers developing diagnostic logic, tools, and infrastructure while interfacing with systems integration, manufacturing, and field service.
Requirements
8+ years developing diagnostics, telemetry, or fault‑management systems for complex electromechanical or embedded platforms.
Strong understanding of system‑level fault behavior, sensor validation, and communication protocols such as CAN, Ethernet, or UDS.
Proficiency in Python, C++, or similar languages for data analysis, validation, and automation.
Skilled with test instrumentation, data logging, and failure analysis tools to support root‑cause investigations.
Proven ability to architect and validate cross‑disciplinary diagnostic systems; degree in Electrical, Computer, Mechanical, Mechatronics, or Systems Engineering (or equivalent).
Bonus Qualifications
Previous ownership of diagnostic systems in Autonomous Vehicles, Robotics, Automotive or Aerospace.
Familiarity with OBD‑II, UDS, or similar diagnostic standards and data frameworks.
Experience developing fleet‑scale telemetry and analytics systems for fault detection and trending.
Background in embedded firmware development or hardware‑in‑the‑loop testing.
Leadership experience defining diagnostic strategies or developing service engineering capabilities.
The US base salary range for this full‑time position is between $150,000 and $250,000 annually. The pay offered may vary based on several individual factors, including job‑related knowledge, skills, and experience. The total compensation package may also include additional components or benefits depending on the specific role; this information will be shared if an employment offer is extended.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Other
Industries:
Machinery Manufacturing
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