OTA test automation

Job Summary

Advanced OTA Test Automation role in a hybrid day shift environment focusing on automotive verification and validation for complex embedded and networked vehicle systems. The role involves designing and executing automated test strategies using Python Bash CAPL and CAN bus to validate automotive protocols and system behavior. The analyst will collaborate across global teams support customer programs and travel as needed to labs or client sites.

Responsibilities

• Design comprehensive verification and validation strategies for automotive systems that align with project quality goals and regulatory expectations while optimizing coverage and efficiency through structured test design.
• Develop reusable automated test scripts using Python and Bash to validate embedded functions communication interfaces and system behaviors in a consistent manner across multiple vehicle platforms.
• Create and maintain CAPL based test cases for CAN bus networks to verify message integrity timing constraints and diagnostic services against defined automotive protocol specifications.
• Execute manual and automated test suites in lab environments and on bench setups to detect functional defects performance issues and integration gaps in automotive electronic control units.
• Analyze test results and log files from CAN bus tools and automation frameworks to identify root causes of anomalies and provide clear defect descriptions and reproducible steps for development teams.
• Collaborate with cross functional teams including developers system engineers and safety specialists to clarify requirements define testability criteria and ensure that verification activities fully reflect real world automotive use cases.
• Provide detailed test documentation including test plans procedures traceability matrices and execution reports that support audits customer reviews and continuous improvement of verification practices.
• Coordinate test activities across hybrid work settings and international locations ensuring that automation assets environments and datasets remain consistent version controlled and accessible to all stakeholders.
• Optimize test automation frameworks and pipelines to reduce execution time improve reliability and ensure that regression suites are triggered at appropriate milestones in the automotive development lifecycle.
• Support field and lab based validation campaigns that may require travel by preparing test equipment managing test data collection and ensuring that observations are accurately captured for later analysis.
• Engage in continuous improvement initiatives to refine verification methodologies adopt new tools for CAN bus analysis and scripting and strengthen alignment with emerging automotive protocols and standards.
• Communicate findings risks and recommendations in clear English to technical and nontechnical partners enabling informed decisions on release readiness and future enhancements that improve vehicle safety and reliability.
• Ensure adherence to company quality processes and industry best practices in automotive verification and validation contributing to safer more dependable mobility solutions for customers and society.

Qualifications

• Demonstrate strong experience in designing and executing automotive verification and validation campaigns with a focus on embedded control units and communication networks within the stated experience range.
• Exhibit advanced scripting skills in Python and Bash applied to test automation frameworks log analysis and creation of utilities that streamline repetitive verification tasks.
• Show proficiency in CAPL scripting and CAN bus based testing including configuring tools interpreting traces and validating automotive protocol implementations against requirements.
• Apply solid knowledge of automotive protocols such as diagnostic communication and network management to design tests that reveal interoperability and robustness issues.
• Utilize proven experience in test automation approaches for automotive systems including framework selection test data management and integration with continuous integration pipelines.
• Display familiarity with auto verification and validation domain concepts such as requirement traceability coverage measurement and system integration strategies for complex vehicle functions.
• Demonstrate strong communication skills in English for reading specifications writing detailed documentation and speaking with global teams to ensure shared understanding of test objectives and outcomes.

Certifications Required

ISTQB Certified Tester Advanced Level Test Analyst or equivalent automotive testing certification such as Automotive SPICE related training.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.