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Aurora Innovation

Licenses autonomous driving technology for vehicles

Senior Systems Engineer - Hardware Systems

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeDallas, TX, USA

About the Job

Requirements

  • Bachelor’s degree in Electrical, Mechanical, Aerospace, Mechatronics, or Computer Science Engineering and at least 6 years of relevant experience, or a Master’s degree and at least 4 years of relevant experience.
  • At least 2 years of industry experience in systems engineering.
  • At least 2 years of industry experience in system test planning and execution, including verification and validation.
  • Strong organizational abilities to drive and manage field issues end to end.
  • Strong communication skills to coordinate with local and remote teams and drive issue resolution.
  • Proven expertise diagnosing system-interaction issues on automated vehicles or other robotic systems.
  • Proficiency using handheld diagnostic equipment such as multimeters and oscilloscopes.
  • Proficiency using laptop-based industry-standard diagnostic service equipment, such as Cummins Insite, Eaton Service Ranger, International Diamond Builder, and KB Diag.
  • Ability to set up and deploy data acquisition devices for analog domains, including current, voltage, and temperature, and digital domains, including CAN logging.
  • Ability to analyze large amounts of data from autonomy logs, telematics, diagnostic tools, CAN traces, and operator statements to reconstruct failure event sequences and identify system and fleet correlations.
  • Ability to use enterprise AI tools and custom AI workflows or skills to accelerate data crunching, root cause analysis, and system triage.
  • In-depth knowledge of automotive and commercial vehicle communication networks and standards, including J1939 CAN and LIN, and their physical- and application-layer implementation and troubleshooting.
  • Knowledge of common automotive power generation and distribution architectures and components.
  • Understanding of common-cause and cascading faults, and fault-tolerant and fail-operational architectures.
  • Ability to convert investigation findings into clear, verifiable engineering requirements and updated analyses such as FMEAs.
  • Experience creating test plans to validate fixes on system benches using HIL and on vehicles.
  • Skill in synthesizing high-density log data and engineering analysis into executive-level summaries that support operational decisions.
  • Ability to aggregate findings for sharing with partners or suppliers to enable internal investigation or justify change requests.

Responsibilities

  • Apply analytical and system-level troubleshooting skills to investigate field and fleet issues by examining and interpreting relevant information to establish system context.
  • Lead hands-on technical investigations of vehicle fleet behaviors from initial bug escalation through root-cause analysis and remediation, covering power distribution, thermal systems, sensor cleaning, external HMI, emergency signaling, audio, telematics, and associated mechanical, pneumatic, and hydraulic interfaces.
  • Formulate and conduct tests to replicate field anomalies in controlled settings using closed-course evaluations, fault injection, Hardware-in-the-Loop setups, and custom diagnostic instruments.
  • Develop and roll out short-term containment measures and long-term corrective actions, including firmware adjustments, system architecture updates, or operational control refinements.
  • Run corrective actions through Aurora’s change-control process and update requirements in Aurora’s requirements database.
  • Partner with adjacent teams to streamline workflows for bug escalation, field diagnostics, and root-cause analysis as fleet capabilities scale.
  • Lead investigations of production-facility end-of-line issues involving thermal, power, cleaning, HMI, and audio subsystems, and hand off confirmed root causes to production.
  • Build automated test scripts and run Hardware-in-the-Loop bench diagnostics to troubleshoot subsystem issues early and reduce dependence on vehicle-level testing.
  • Travel to Aurora Operations locations where field issues are discovered to investigate them; travel is approximately 30% of total time.

Desired Qualifications

  • Experience diagnosing system-interaction issues on automated vehicles or other robotic systems.
  • Proficiency using handheld diagnostic equipment such as multimeters and oscilloscopes.
  • Proficiency using laptop-based industry-standard diagnostic service equipment, such as Cummins Insite, Eaton Service Ranger, International Diamond Builder, and KB Diag.
  • Ability to set up and deploy data acquisition devices for analog domains, including current, voltage, and temperature, and digital domains, including CAN logging.
  • Ability to analyze large amounts of data from autonomy logs, telematics, diagnostic tools, CAN traces, and operator statements to reconstruct failure event sequences and identify system and fleet correlations.
  • Ability to use enterprise AI tools and custom AI workflows or skills to accelerate data crunching, root cause analysis, and system triage.
  • In-depth knowledge of automotive and commercial vehicle communication networks and standards, including J1939 CAN and LIN, and their physical- and application-layer implementation and troubleshooting.
  • Knowledge of common automotive power generation and distribution architectures and components.
  • Understanding of common-cause and cascading faults, and fault-tolerant and fail-operational architectures.
  • Ability to convert investigation findings into clear, verifiable engineering requirements and updated analyses such as FMEAs.
  • Experience creating test plans to validate fixes on system benches using HIL and on vehicles.
  • Skill in synthesizing high-density log data and engineering analysis into executive-level summaries that support operational decisions.
  • Ability to aggregate findings for sharing with partners or suppliers to enable internal investigation or justify change requests.

About the Company

Aurora Innovation

Licenses autonomous driving technology for vehicles

Aurora Innovation develops and licenses self-driving technology for vehicles. Its main product, the Aurora Driver, is embedded into partner vehicles to move people and goods autonomously, serving logistics, ridesharing, and fleet-management needs. How it works: The Aurora Driver combines a sensor suite—notably FirstLight Lidar—with software for perception, planning, and control. The system is tested extensively with a Virtual Testing Suite to ensure reliability before deployment. Revenue comes from licensing the Driver as a service to partners, along with ongoing support and updates. How it differs from competitors: Aurora emphasizes its high-performance FirstLight Lidar, a strong safety culture, and a collaborative business model that partners with vehicle makers, logistics firms, and network operators to accelerate commercialization of autonomous driving. Goal: To make transportation safer and more efficient by expanding access to autonomous mobility and logistics solutions.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Pittsburgh, PA
Founded
2017

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