Atlas Senior Controls Reliability Engineer
- Advanced Controls Debugging: Lead investigations for complex controls and behavioral issues escalated from Fleet Operations. Perform deep-dive analysis of robot logs to evaluate the health and function of electric actuators, troubleshoot system faults, and resolve failures in automated health checks.
- 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. Formalize technical knowledge into standardized "Playbooks" to empower field teams to resolve known issues independently.
- 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.
- 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.
- Proficiency in C++ and Python for system analysis and tool development.
- Ability to work onsite at our Waltham facility for direct hardware interaction.
- Experience with data analysis at-scale, specifically in SQL and Python (Pandas, Numpy).
- Familiarity with data visualization tools, like Snowflake and Looker.
- Experience with Bazel, Google Test infrastructure, Google Cloud Platform and Apache Airflow
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