Staff Diagnostics Engineer at Figure

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

250000.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Diagnostics, Telemetry, Fault Management, Embedded Systems, Python, C++, Data Analysis, Validation, Automation, Test Instrumentation, Data Logging, Failure Analysis, Service Engineering, System-Level Fault Behavior, Communication Protocols, Fleet Operations

Industry

Machinery Manufacturing

Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 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. This 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 work across hardware, firmware, controls, behaviors and systems integration teams to ensure every subsystem reports accurate, actionable diagnostic data in real time. Success in this role requires a deep understanding of system-level fault behavior, embedded systems, and service engineering principles. The ideal candidate combines strong technical judgment with a system-thinking approach to create a robust diagnostics architecture that scales. 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 system 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 for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Responsibilities

Define and validate the on-board diagnostics framework for humanoid robots. Collaborate across teams to ensure accurate diagnostic data reporting in real time.