Quality Assurance Engineer

We are seeking a highly motivated and experienced Software Quality Assurance (QA) Engineer to join our team dedicated to autonomous driving technology. The ideal candidate will have a strong background in software testing, a passion for automotive safety, and a deep understanding of the unique challenges in autonomous systems. You will play a crucial role in ensuring the safety, reliability, and performance of our autonomous driving stack through rigorous testing and validation.

• →Develop and execute comprehensive test plans and test cases for the autonomous driving software stack, including perception, prediction, planning, and control modules.
• →Conduct a wide range of testing, including manual, automated, functional, regression, and performance testing.
• →Utilize Linux-based systems and command-line tools for test execution, log analysis, and system debugging.
• →Leverage virtualization technologies like Docker to create and manage consistent and isolated testing environments.
• →Collaborate closely with software developers and systems engineers to identify, reproduce, and debug software defects.
• →Analyze large-scale data logs from real-world and simulated driving scenarios to identify edge cases and system anomalies.
• →Contribute to the development and maintenance of automated testing frameworks and CI/CD (Continuous Integration/Continuous Deployment) pipelines.
• →Document test results, defects, and test reports with clarity and precision.
• →Help define and improve QA processes and methodologies to ensure alignment with industry standards.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software quality assurance or testing, with a focus on autonomous driving, robotics, or other safety-critical systems.
• Proven experience in designing and executing test cases for complex, real-time software.
• Strong proficiency with Linux operating systems and scripting languages (e.g., Python, Bash).
• Demonstrated experience with Docker for containerization and environment management.
• Solid understanding of software development life cycles (SDLC) and QA methodologies.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Strong communication and teamwork skills

• Experience with safety standards and processes, specifically ISO 21448 (Safety of the Intended Functionality - SOTIF) or ISO 26262 (Functional Safety).
• Familiarity with simulation platforms for autonomous vehicles.
• Experience with vehicle communication protocols such as CAN or Ethernet.
• Experience with bug tracking and test management tools (e.g., Jira, TestRail).

Application Review - Assignment - Tech Interviews -CEO Screening - Offer    

(Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances)