New Grad- Robotics Reliability Engineer

About the role

Symbotic is seeking a Bot Reliability (Systems) Engineer to drive the reliability, performance, and scalability of our autonomous warehouse platform powered by Symbotic’s mobile robots.

Responsibilities

• Fleet-Scale System Reliability
  • Identify, triage, and root-cause system-level issues impacting large-scale robotic fleets.
  • Drive improvements in system reliability, availability, and performance across thousands of deployed robots.
  • Define and monitor system performance guardrails tied to customer KPIs (throughput, error rates, recovery time, uptime).
  • Partner with field teams to debug and resolve production issues in live environments.
• End-to-End Systems Debugging & Integration
  • Work across robotics software, hardware, controls, perception, and infrastructure to diagnose complex system interactions.
  • Debug issues spanning embedded systems, distributed services, real-time control loops, and operational workflows.
  • Collaborate with cross-functional teams to drive fixes and long-term solutions.
  • Contribute to system design improvements that enhance robustness, fault tolerance, and scalability.
• Data-Driven Performance Optimization
  • Analyze robot logs, telemetry, and diagnostics data to identify failure modes and performance bottlenecks.
  • Build and use tools (SQL, Python, dashboards) to investigate trends and validate hypotheses.
  • Develop mechanisms for regression detection, failure trend analysis, and performance monitoring.
  • Drive continuous improvement through structured experiments and data-backed decisions.
• Operational Excellence & Continuous Improvement
  • Own reliability metrics and contribute to improving system observability and debuggability.
  • Document failure modes, learnings, and standard operating procedures for issue resolution.
  • Support release validation and help ensure changes meet reliability and performance expectations.
  • Act as a technical escalation point for complex system issues.

Requirements

• Bachelor's or Master's degree in Computer Engineering, Robotics, Mechanical Engineering, or related field.
• Experience in robotics, automation, or complex distributed systems engineering.
• Strong systems engineering mindset with experience in robotics control software, real-time systems, and hardware-software integration.
• Demonstrated experience in structured root-cause analysis and failure investigation.
• Proficiency in data analysis and scripting (Python, SQL, or similar).
• Experience working with logs, telemetry systems, and large-scale operational data.
• Familiarity with Linux environments and version control systems (Git).
• Experience working in production environments with deployed systems (not just lab prototypes).
• Strong problem-solving skills and ability to work across ambiguous, cross-functional system boundaries.
• Experience in Agile development environments.