Automotive System Test Engineering

Cognizant; San Jose (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

Cognizant is seeking a System Test Engineer for Automotive System Engineering with hands-on experience in Python and SQL scripting. The role emphasizes testing of autonomous vehicle simulations, defect triaging, and ensuring alignment with industry best practices.

Candidates with US driving experience and prior work on Waymo-like auto domains will stand out. The position focuses on improving workflows and leveraging in-house tools for simulation review and reporting.

Qualifications

• 2+ years of experience in system testing or QA for automotive/simulation domains.
• Proficiency in Python and SQL scripting.
• Experience with Waymo or a similar autonomous vehicle domain is preferred.

Responsibilities

• Perform system testing and defect triaging following industry best practices.
• Develop and maintain automated tests to accelerate validation cycles.
• Triaging test failures, documenting root causes, and reporting with clear, complete records.

Skills

Python

SQL

System testing

Job description

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary

System Test Engineering Automotive System Engineering with working knowledge of Scripting language like python and SQL

Responsibilities

Working Knowledge of Python and SQL At least 2 years

Prior Experience working on Waymo/Similar auto domain.

System Testing and Defect Triaging ensuring that our processes are aligned with the best practices in the industry.

US driving experience to enhance the effectiveness of the tests.

Software simulation tests that adhere to Autonomous Vehicle and established best practices parameters and criteria based on our business expertise

Conducting triage on failing simulations reviewing and reporting relevant failures and documenting them in a complete accurate and programmatic report.

Creating detailed test descriptions and diagrams for tests of requirements that adhere to best practices and parameters

Utilize In-house tools to review simulation results effectively. Properly triaging failures and documenting exceptions for failing tests to convey why particular failing tests are acceptable.

Queries for existing dashboards to reflect the latest release ensuring that our data is up-to-date and accurate.

Continuously working on improving workflows through automation to enhance efficiency and productivity