Back
Strong brand, mid-level experience range, metro location, and broad automation skillset increase competition.
Highly automotive-embedded testing and AUTOSAR/HIL specificity limits cross-industry transferability.
Many mandatory automotive testing tools, protocols, certifications and explicit experience range enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end testing for automotive software with focus on Python test automation using Robot framework and scripting.
Accountable for creating and executing automated tests in HIL and SIL environments, specifically using CANoe/CAPEL tools for automotive networks like CAN, LIN, Ethernet.
Ensure compliance with Autosar standards, utilize CI/CD tools such as GitHub, Jenkins, and integrate testing in agile frameworks like SAFe.
4 to 9 years of experience in automotive software testing at APSICE SWE5 and SWE6 levels.
Strong hands-on experience with Python scripting, Robot framework, and automotive networks (CAN, LIN, Ethernet).
Proven usage of HIL and SIL simulation/verification tools (CANoe/CAPEL) and Autosar compliance.
Working knowledge of Linux/UNIX/QNX and CI/CD tools (GitHub, Jenkins, Bitbucket).
Experienced in automotive embedded software testing with focus on compliance and simulation toolchains.
Comfortable working independently and collaboratively in fast-paced, agile (SAFe) environments.
Capable of handling complex test automation challenges involving networked automotive platforms and integration of continuous testing pipelines.