Software Test Engineer (Virtualization - SIL) - ADAS Virtualization Deployment

The Role: The ADAS Virtualization Deployment team is part of the ADAS DRIVE organization which is responsible for the design, requirements, integration, validation, and execution of ADAS products. Joining our organization will provide you with the opportunity to work on cutting‑edge technologies, contribute to innovation, and collaborate with a diverse team of experts. As a Software Test Engineer – Virtualization in the ADAS Virtualization Deployment team, you will focus on capability development and readiness of Software‑in‑the‑Loop (SIL) test environments to support ADAS feature testing / validation. You will work with simulation tools and multiple teams (Simulation Tools and Infrastructure, ADAS capability and execution teams) to help build required capability in SIL environment, create initial scenarios / scripts and execute initial testing, improve SIL based test environments that enable early testing / validation and reduce dependence on physical benches and vehicles. What You'll Do (Responsibilities): Support the capability development, program specific configuration, test results / issues debugging and initial test execution of assigned ADAS feature on SIL environment Support creation of scenarios and test execution to evaluate the readiness and capability of virtual environment for testing / validation Evaluate any new requests for adding or updating ADAS software, vECUs, models and programs into SIL package configuration Compile and provide requirements to Simulation Tools and Infrastructure teams to update / add capability to their SIL environments for required testing Support automation of test cases following established test procedures in X-Ray / CGs Work with feature owners, systems engineers, and calibration engineers to reproduce issues in SIL and support triage of test results Support process automation for test result data analysis Contribute to documentation and standard work for SIL usage, including how‑to guides, user training as required Identify and communicate opportunities to improve testing efficiency, coverage and automation in SIL environment Share status, risks, and learnings with team members and leads and participate in regular reviews and stand‑ups Provide technical mentorship to less experienced engineers on SIL usage, test execution and automation Drive continuous improvement and innovation in ADAS virtualization capabilities and contribute via sharing lessons learned, escalating risks and informing stakeholders of status, timing, risks, and technical issues / roadblocks Your Skills & Abilities (Required Qualifications): Bachelor of Science degree in Engineering, Computer Science, Physics, Math, or related technical field 5+ years of overall engineering experience related to software testing, simulation of embedded systems or control systems Fundamental understanding of active safety / ADAS concepts, vehicle dynamics, or automated driving technology Basic experience with programming or scripting (e.g., Python, MATLAB, C/C++) Strong ability to work with computer‑based simulation tools to run tests and analyze data High level of oral and written communication skills and the ability to clearly document work Demonstrated ability to learn new tools and processes quickly, handle multiple tasks / projects and follow through on deliverables / commitments What Can Give You a Competitive Edge (Preferred Qualifications): Master’s degree or additional coursework in Embedded controls, ADAS, Autonomous systems or related areas 7+ years of overall engineering experience related to software testing, simulation of embedded systems or control systems, test automation, validation Exposure to SIL environments, vehicle simulation tools, or virtual ECU testing Familiarity with co-simulation methods such as FMI or Protobuf Experience in modeling within physics‑based simulation environments, preferably in the automotive domain Experience with test automation and CI/CD tools (e.g., Git, Jenkins, or similar) for automated testing Familiarity with CAN, LIN, or Ethernet communication and basic understanding of vehicle diagnostics Experience with MATLAB/Simulink and Python for data analysis, tool development, or test automation. Experience with ADAS features and ADAS components (radar, camera, lidar, sensors) simulation #J-18808-Ljbffr