Remote Predictive Maintenance Jobs in California

The Sentry product line is Anduril's family of land-based situational awareness platforms - modular systems integrating power, structure, robotics, sensors, compute, and communications. These systems are deployed globally to deliver 24/7 force protection, border security, and domain awareness for our customers.

Anduril is scaling a fleet of autonomous systems deployed across demanding operational environments. As that fleet grows, our ability to understand system health, diagnose issues quickly, reduce downtime, and improve readiness becomes a core product and operational advantage. We are looking for a Technical Program Manager, Fleet Health Management to help build the systems, workflows, and technical foundation required to sustain a large fleet of deployed autonomous systems. This person will work across hardware, software, reliability, field operations, manufacturing, quality, and product to transform fleet telemetry and operational data into actionable insight. This role is not traditional maintenance management. It is a technical leadership role focused on building scalable fleet health capabilities, improving diagnostic workflows, enabling predictive maintenance, and creating feedback loops that improve both field operations and future product development. The ideal candidate is a technically strong program leader who is passionate about how complex systems perform in the real world. They are comfortable working across software, hardware, data, reliability, and operations, and they can turn ambiguous fleet health problems into structured programs with clear technical direction and measurable outcomes.
Strong candidates may come from backgrounds such as autonomous systems, aerospace, connected vehicles, robotics, industrial IoT, fleet management, defense systems, predictive maintenance, reliability engineering, or vehicle health management.

Build the fleet health management capability

• Lead the development of tools, workflows, and technical processes that provide clear visibility into the health, readiness, and performance of deployed systems. Partner with engineering and operations teams to define what data we need, how it should be collected, how it should be interpreted, and how it should drive action.

Improve diagnostics and issue resolution

• Create better ways to detect, triage, diagnose, and resolve issues across fielded systems. This includes improving alerting, reducing noise, identifying root causes faster, enabling remote troubleshooting, and reducing unnecessary engineering escalations.

Move from reactive to predictive sustainment

• Use telemetry, historical failure data, reliability trends, and operational context to identify opportunities for preventive and predictive maintenance. Help the organization shift from "something broke, go fix it" to a more proactive model that improves availability and reduces lifecycle cost.

Create closed-loop product learning

• Build feedback loops between fielded systems, operators, deployment teams, reliability, engineering, and product. Use real-world fleet data to inform roadmap decisions, improve system design, prioritize engineering work, and continuously improve mission readiness.

• 7+ years of experience in technical program management, product operations, systems engineering, reliability, fleet operations, or a related technical field.
• Experience working with complex hardware/software systems deployed in real-world operational environments.
• Strong technical fluency with telemetry, diagnostics, data analytics, system health monitoring, or reliability workflows.
• Demonstrated ability to lead cross-functional programs across engineering, operations, product, and support teams.
• Strong analytical skills and comfort using data to drive prioritization, decision making, and continuous improvement.
• Excellent communication skills, with the ability to align technical and non-technical stakeholders around a common plan.
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Experience with Fleet Health Management, Vehicle Health Management, Prognostics and Health Management, or predictive maintenance.
• Experience with autonomous systems, aerospace systems, defense systems, connected vehicles, robotics, or industrial equipment.
• Familiarity with observability tools, telemetry pipelines, time-series data, dashboards, alerting systems, or remote diagnostics.
• Experience using fleet data to improve uptime, reliability, maintenance planning, or product design.
• Exposure to AI/ML-enabled diagnostics, anomaly detection, digital twins, HITL/SITL testing, or simulation environments.