Staff Hardware Systems Applications Engineer

$163,000 - $261,000/Yr

Aurora Innovation - Dallas, TX

Full-time - Mid Level

Dallas, TX

Professional, Scientific, and Technical Services

About the position

The Staff Hardware Systems Applications Engineer will play a critical role in diagnosing and resolving complex issues within electromechanical systems related to self-driving technology. This position involves hands-on work with the self-driving truck test fleet, utilizing various diagnostic tools and measurement instrumentation to ensure optimal hardware performance. The engineer will collaborate closely with engineering design teams and field operations to facilitate rapid issue debugging and influence future system designs.

Responsibilities

• Work on-site at the Dallas facility, focusing on fleet operations.
• Perform diagnostics, root cause analysis, instrumentation, and prototype testing on the self-driving truck test fleet.
• Investigate system-level hardware issues using a diverse set of applications and tools.
• Utilize OEM diagnostic tools such as Cummins Insite and Eaton ServiceRanger.
• Work with measurement instrumentation like oscilloscopes and thermocouples.
• Develop measurement instrumentation methods when off-the-shelf solutions are unavailable.
• Log and plot CAN data using CANAlyzer, CANape, or equivalent tools.
• Analyze log files and event data using Python and Linux command line tools.
• Develop tooling and dashboards to measure hardware performance and identify trends.
• Coordinate cross-functional solutions with operations, service, and engineering teams.
• Create technical investigation and test reports for senior/executive leadership.

Requirements

• BS in Engineering or equivalent.
• 5+ years of work-related experience in the Automotive Engineering field, specifically in test engineering or field service engineering.
• Ability to be objective and data-driven in solving issues.
• Ability to interpret complex system architecture and wiring diagrams.
• Hands-on experience with heavy machinery for data acquisition and issue investigation.
• Deep understanding of fundamental automotive engineering principles.
• Experience using various applications and tools for technical analysis of self-driving hardware systems.
• Ability to perform hands-on debugging and data collection using OEM diagnostic tools.
• Experience developing custom instrumentation when existing logs are insufficient.
• Proficiency in analyzing log files and plotting event data using tools like CANAlyzer and Python scripts.
• Ability to manipulate data using coding languages such as SQL and Python for fleet performance analysis.
• Skill in creating technical reports summarizing complex investigations with quantifiable results.

Nice-to-haves

• Ability to provide objective feedback on complex system requirements and designs.
• Experience working cross-functionally across service, test operations, engineering, and leadership teams.
• Ability to manage a diverse set of daily tasks from process development to field issue debugging.
• Skill in coordinating multiple priorities/projects in a fast-paced environment.
• Excellent written and oral communication skills.

Benefits

• Annual bonus
• Equity compensation
• Comprehensive benefits package