Systems and Safety Intern - Safety Processor Validation

Systems Engineering Intern | PlusAI This is an internship at PlusAI, a company headquartered in the Silicon Valley area with operations in the United States and Europe. PlusAI is a Physical AI company that pioneers AI-based virtual driver software for factory-built autonomous trucks. This role offers a significant opportunity to work, learn, and grow within a future-oriented field, contributing to the development and validation of critical safety components. You will make a substantial impact by ensuring the reliability and safety of next-generation autonomous trucks through the validation of the Safety Processor, a robust and high‑availability component that monitors for faults and manages redundant systems within the autonomous driving system. The Tone This internship is focused on engaging with cutting‑edge technology and safety validation in autonomous truck systems. The trainee will collaborate closely with the Systems and Safety team, applying practical experience in software, data analysis, and system reliability. The TL;DR Role: Internship Location: In‑person, Santa Clara, CA Pay: $19–$65 hourly Team: Systems and Safety team, responsible for the validation of the Safety Processor. Mission: Validate the Safety Processor by automating test report generation, analyzing critical functionalities, and ensuring the integrity of recorded data for autonomous trucks. Tech Stack: Python, C++, Linux‑based tools What You’ll Actually Do Automate: Develop methods to automate the generation of test reports, significantly reducing manual effort and time in the validation process. Analyze: Conduct detailed analysis on various Safety Processor functionalities, including redundant takeover detection, steering angle and angle rate limitation, speed limitation, and brake effort limitation. Document: Integrate analyzed results and proper test evidence directly into the Plus Requirements Management System to maintain robust documentation and traceability. Discover: Identify and report any abnormal characteristics within analyzed CAN data, such as unauthorized step changes or instances of CAN data loss. The Must-Haves Background: Actively pursuing a Master’s degree in Systems Engineering or a related engineering field, demonstrating a foundational understanding of complex system design and validation. Experience: Prior experience or research engagement in Autonomous Driving, Advanced Driver Assistance Systems (ADAS), or Robotics, showcasing familiarity with relevant domain challenges. Skills: Proficiency in Python and C++ for scripting, data analysis, and system development; Strong organizational capabilities to manage tasks and information effectively; Excellent communication skills for collaborating within the team and documenting findings; Utilizing Linux‑based tools is preferred. Bonus: A working knowledge of automotive safety standards like ISO 26262 and SOTIF; Experience with vehicle level control software across various domains such as powertrain, battery, or chassis; Familiarity with vehicle communication networks and protocols. #J-18808-Ljbffr