Hardware Engineering Intern, HW Systems at Aurora in Pittsburgh, PA

Summary: Aurora is a company focused on delivering self-driving technology safely and efficiently. They are seeking a Hardware Engineering Intern to work on diagnosing complex issues within electromechanical systems and assist in the development and resolution of these issues for their self-driving truck test fleet. Responsibilities: - Work on-site at our Pittsburgh facility - Frequently work hands-on with Aurora’s self driving truck test fleet - Use a diverse set of applications and tools to perform technical analysis and investigate/resolve issues with self-driving HW systems for commercial truck vehicles - Build dashboards and tools to track the performance of the hardware in the field - Analyze log files and plot event data (Eg. Python, SQL, Vector CANalyzer) to reconstruct the series of events leading up to an issue - Present test results and issue investigation summaries Required Qualifications: - Pursuing BS/MS or PhD in Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, or a related field - Strong written and oral communication skills - Fundamental software engineering skills (Python, SQL) - Basic knowledge of automotive networking (CAN + Ethernet) and electrical diagnostic tooling - Returning to a degree-granting program after the internship concludes (Summer/Fall 2026) Preferred Qualifications: - Ability to work with lab and field data acquisition systems/equipment - including but not limited to oscilloscopes, Labjack, Vector, Wireshark, and in-house DAQ tooling - Ability to interpret and work with a diverse set of operating systems and applications, including but not limited to Linux and Vector CANalyzer - Ability to be objective (data-driven) and apply the scientific process - Ability to interpret complex system architecture and wiring diagrams - Ability to get hands-on with heavy machinery for the purpose of data acquisition and issue investigation - Ability to interpret and provide well-formed, objective feedback on complex system requirements, designs, and processes - Ability to create rich technical reports summarizing complex issue investigations with quantifiable results - Ability to handle a diverse set of daily tasks ranging from high-level process development to low-level field issue debugging Required Skills: Python, SQL, Automotive networking Important Skills: Electrical diagnostic tooling, Data acquisition systems, Linux Nice-to-Have Skills: Scientific process, Project management