We are looking for hardworking Testing Engineer to join the Automotive System Integration and Testing 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 groundbreaking automotive products used in self-driving cars. We are looking for a testing Engineer to develop and implement 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 driven and motivated engineers. This role will also require to frequently work well 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:

• Implement the test activities in autonomous vehicle according to testing plan.

• Design the test case/test scenario/test methodology according to the features of autonomous software and products, modify the test implementation according to project variance.

• Design and plan the test route, to ensure the delivery quality could match the expectation of end user, able to identify/derive the corner case from testing to improve coverage.

• Summarize the test result and compile the report accordingly, analyze the found issues and provide feedback to project team.

• Measure, track and follow to improve the performance of SW stack, components and (Deep Neural Networks) DNN algorithms from self-driving cars with complex SW architecture.

• 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/EEE

• 3+ years hands on testing experience in autonomous vehicles. Test expertise of below functionalities in L2 above projects is a MUST, including,

• Driving functionalities, including lateral and longitude

• Active safety functions

• Parking functions

• Familiar with L2 above functions available in the market, with a good view of the technology evolution path.

• Good understanding of autonomous driving stack modules such as sensor fusion, radar perception, camera perception, localization, behavior planning, HD maps etc is a good plus.

• Experience with Linux and/or QNX is required. Another embedded OS experience is helpful.

• Experience with programming language as Python/C/C++ is required.

• 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.