Aurora Operations Inc Senior Systems Engineer, Hardware Systems leads technical investigations and troubleshooting for vehicle fleet behaviors and hardware systems. This role develops remediation strategies and scalable sustaining processes.
Responsibilities
Field & Fleet Triage Expertise: Ability to apply strong analytical and system level troubleshooting skills. Specifically, execute troubleshooting from symptoms to possible causes by seeking out and examining / interpreting the right information to provide system context.
Lead End-to-End Field Investigations: Hands-on leadership to drive complex technical investigations of vehicle fleet behaviors from initial bug escalation through root-cause analysis and remediation, including power distribution, thermal, sensor cleaning, external HMI, emergency signaling, audio, telematics, and associated mechanical, pneumatic, and hydraulic interfaces.
Investigative Test Design & Execution: Formulate and conduct tests to replicate anomalies observed in the field within controlled settings, leveraging closed-course evaluations, fault injection, Hardware-in-the-Loop setups, and custom diagnostic instruments.
Remediation Strategy Development & Deployment: Formulate and roll out short term containment measures and long term corrective actions for that could take the form of firmware adjustments, system architecture updates, or operational control refinements as applicable. This includes running corrective actions through the change control process at Aurora and making requirements updates in Aurora’s requirements data base.
Scalable Sustaining Processes: Partner with adjacent teams to streamline existing workflows for bug escalation, field diagnostics, and root cause analysis to scale sustaining capabilities across fleet growth.
Production & EOL Support: Take the lead for investigating end of line issues found at the production facility around thermal, power, cleaning, HMI, audio sub systems. Ensure a clear handoff to production once root cause is confirmed.
HIL Test Bench Troubleshooting: Build automated test scripts and run HIL bench diagnostics to troubleshoot subsystem issues early, minimizing dependency on vehicle-level testing
Travel to Aurora Operations locations: Travel to locations where field issues are discovered for the purpose of investigation. (30% of total time)
Qualification
Desirable QualificationsComplex System TroubleshootingAutomotive System Architecture
Required
Bachelor’s degree in Electrical or Mechanical or Aerospace or Mechatronics or Computer Science Engineering and a minimum of 6 years of relevant experience, or a Master’s degree and a minimum of 4 years of relevant experience
2+ years of industry experience in systems engineering
2+ years of industry experience in system test planning and execution (verification and validation)
Strong organizational abilities to drive and manage field issues end to end
Strong communication skills to effectively coordinate with local and remote teams and quickly drive issue resolution
Desirable Qualifications
Complex System Troubleshooting: Proven expertise in diagnosing issues related to system interactions on automated vehicles or other robotic systems.
Using hand held diagnostic equipment such as multimeters, o-scopes etc.
Using laptop based industry standard diagnostic service equipment - Cummins Insite, Eaton Service Ranger, International Diamond Builder, KB Diag etc.
Setting up and deploying data acquisition devices for both analog (current, voltage, temp) and digital (CAN Logging) domains,
AI-Powered Data Crunching & Rapid Triage: Proficiency in analyzing large amounts of data from different sources (autonomy logs, telematics and diagnostic tools, CAN traces, operator statements, etc) to reconstruct event sequences during failures and identify correlations within the system and across the fleet. Ability to leverage enterprise AI tools and custom AI workflows/skills to accelerate complex data crunching, streamline root cause analysis, and speed up system triage.
Automotive System Architecture: In depth knowledge of automotive and commercial vehicle communication networks and standards (J1939 CAN, LIN), including physical layer and application layer implementation and troubleshooting. Knowledge of common automotive power generation and distribution architectures and components.