Atlas Senior Controls Reliability Engineer

Job description

Job responsibilities

• Advanced Controls Debugging: Lead investigations for complex controls and behavioral issues escalated from Fleet Operations.
• Analytics, Testing & Reproduction: Analyze telemetry for anomalies in control stability and sensor performance. Write unit tests and improved detection logic for reproducible failure modes.
• Software & Tooling Development: Develop automated Python diagnostic scripts and C++ utilities and unit tests to transition the fleet from manual troubleshooting to proactive, automated health monitoring.
• Scalable Diagnostics: Maintain automated diagnostic suites to provide actionable feedback for hardware and software teams.
• Technical Reporting: Distill complex failure modes into high-signal reports for senior Controls Engineers, providing pre-analyzed data and clear failure hypotheses.
• Cross-Functional Collaboration: Partner with hardware and software specialists to verify fixes and ensure field data directly influences future robot iterations.

Job requirements

• The "Robotics Detective": You are driven to trace failures from high-level behavior code down to low-level firmware or electromechanical root causes.
• Technical Expert: Proficient in C++ for real-time system debugging and Python for building data analysis tools and automated scripts.
• Hands-On Generalist: You have a strong understanding of controls theory, electric motors, and embedded systems, and you enjoy working directly with complex hardware in a lab environment.
• Clear Communicator: You excel at translating technical "noise" into structured reports and procedures for diverse engineering partners.
• Technically Fearless: You are motivated by solving challenging problems in novel domains of robotics, and are excited about learning on a daily basis.
• Bachelor’s degree in Robotics, ME/EE, Computer Science, or a related field.
• 1–4 years of professional experience in robotics, hardware reliability (SRE), or high-level technical support for complex electromechanical systems.
• Proven experience debugging complex systems using log analytics and on-robot diagnostic tools.