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About the Role

We are seeking a Manager, Robot Diagnostics & Analysis to lead and scale a high-impact organization responsible for engineering issue triage, technical investigations, root cause analysis, fault attribution, and engineering analytics across the humanoid robot platform.

This role owns the strategy, execution, and evolution of the organization's diagnostic and investigation capabilities. You will lead a team of triage & root cause analysis engineers establishing the frameworks, processes, and technical rigor required to rapidly diagnose complex robot failures spanning hardware, software and firmware, improve organizational learning, and accelerate engineering resolution.

The ideal candidate combines strong technical depth in engineering, debugging, and root cause analysis with proven leadership experience, enabling them to set vision, drive execution, and build a high-performing team that delivers timely, data-driven understanding of complex robot issues.

About the Work

• Build, lead, and develop a high-performing diagnostics and analysis team.
• Define the vision, strategy, and operating model for engineering diagnostics across the robot platform.
• Establish scalable processes, investigation frameworks, and team capabilities.
• Mentor engineers and foster a culture of technical rigor, accountability, and continuous improvement.

• Lead investigation of complex robot failures across hardware, software, controls, manufacturing, and system integration.
• Drive issue triage, fault isolation, root cause analysis, and ownership attribution.
• Develop diagnostic tools, workflows, dashboards, and analytics that improve investigation effectiveness.
• Identify systemic risks, recurring failure modes, and product improvement opportunities through data-driven analysis.

• Partner with engineering, manufacturing, reliability, quality, and field teams to drive efficient issue resolution.
• Communicate investigation findings and recommendations to technical and executive stakeholders.
• Establish scalable tools, knowledge management systems, and observability frameworks that improve organizational effectiveness.
• Lead prioritization and execution across multiple programs aligned with product and business objectives.

About You

• 8+ years of experience in systems engineering, diagnostics, integration, test, reliability, software, controls, or related engineering disciplines supporting complex electromechanical systems.
• 3+ years of experience leading and managing engineering teams, including senior and staff-level engineers.
• Experience in robotics, autonomous vehicles, aerospace, industrial automation, or similar high-complexity hardware and software systems.
• Proven track record of leading complex technical investigations and root cause analysis efforts across multidisciplinary engineering organizations.

• Strong expertise in system-level debugging, root cause analysis, fault isolation, and technical investigations across complex robotic and electromechanical systems.
• Experience with telemetry, observability, logging, and engineering analytics tools used to diagnose and resolve system issues.
• Proven ability to build and lead high-performing engineering teams while scaling processes and operational rigor.
• Excellent systems thinking, analytical problem-solving, and cross-functional leadership skills.
• Effective communicator capable of influencing technical and executive stakeholders.
• Ability to balance technical depth with strategic leadership in fast-paced, ambiguous environments.

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Systems Engineering, Robotics, or a related field (Master's or PhD preferred).

Location

• This a hybrid position based out of our Fremont office.: 

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.