Job Description

Basic Qualifications: Bachelor of Science in Applied Physics, Mechanical Engineering, Electrical Engineering or equivalent (Materials /Chemical/ Civil/ Aerospace/Computer) from an ABET accredited university. Have known the knowledge of classic and adaptive AUTOSAR Demonstrated ability to develop AUTOSAR based systems. Demonstrated competency in dSPACE tools like System desk, Control desk, VEOS, Automation desk and SYNECT. Knowledge on Functional Mockup Interface Knowledge on AI Agents and LLMs. Ability to develop scripts for automating tasks using GenAI. Demonstrated competency in creating virtual ECU’s Demonstrated competency in connecting virtual ECU’s using BUS manager Trained in both VEOS and Control Desk test layout creation. Working experience in Continuous Integration and Continuous Delivery (CI/CD) environment Experience with statistical analysis of data to establish pass/fail criteria Good problem-solving skills Good communication and interpersonal skills Preferred Qualifications: Master’s degree in Applied Physics, Mechanical, Electrical, Aerospace or Computer Engineering from an ABET accredited university A minimum of 3 years within the area of Virtual or Hardware validation using dSPACE tools like System desk, Control desk, VEOS, Automation desk and SYNECT Related engineering experience Understanding of virtual validation process