We are looking for an hardworking SQA Engineer to join the Automotive QA group.This position will be part of a dynamic crew that test, measure and maintains the performance and quality of complex heterogeneous computing systems that power state of the art automotive products used in self-driving cars. We are looking for a SQA Engineer to develop and execute exploratory and automated tests to ensure self-driving car SW/HW stack meet high standards of quality. As a member of this core team, you will be working with highly competitive and motivated engineers. This role will also require to frequently get along with Dev module leads & cross matrix architects. Join us at forefront of this ground-breaking autonomous vehicle revolution. You can read more about it here: https://www.nvidia.com/en-au/self-driving-cars/What you'll be doing:Collect and maintain the dataset for replay testing. Select the specific events from road test which are qualified with defined criterion. Put all selected events into the dataset as the playlist. Maintain and update the dataset with latest events to keep the dataset up to date.Run/design the workflow of closed loop replay to get the test result. Design/apply existing replay toolchain in autonomous vehicle testing, replaying the on-road vehicle event to check reproducibility or KPIs satisfy certain benchmark criteria against fast software iteration. Design/modify the replay workflow to match the request from stakeholders in projects. Work with expertise team to define the KPI, pass criterion for the workflow.Analyze the replay result and make the judgement of SW quality. Identify issues from test result, file the issues into bug system, pass the finding to other teams for bug fix.Communicate with global team to keep the test methodology, technique, process up to date.Implement the test activities in autonomous vehicles according to testing plan. Design the test case/test methodology according to the features of autonomous software and products. Summarize the test result and compile the report accordingly, analyze the found issues and provide feedback to project team.Participate in review and provide feedback on product feature requirements, specifications, and technical design documents.Working closely with various team including project management, hardware, and software developers, contribute to the project progress according to planning.What we need to see:B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEEAt least 3+ year’s hands on testing experience in autonomous vehicles, especially replay, SIL, HIL and so on.Good understanding of autonomous driving stack modules such as sensor fusion, radar perception, camera perception, localization, behavior planning, HD maps etc is a MustExperience with Linux and/or QNX is required. Another embedded OS experience is helpful.Experience with programming language as Python/C/C++ is required. Requires strong Bash, SQL/MySQL knowledge.Ability to self-manage, show leadership, good analytical skill and communicate well.Should be an excellent teammate, with passion towards new technology/trends.Ways to stand out from the crowd:Any certification course on Machine learning / Self-driving car.Hands-on test experience on production autonomous vehicles and products.Pragmatic experience on programming with practical case.
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