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 Senior Triage 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:

• Review and initial level triage of the failure events recorded during on road car drives.

• Identify, record, document, regress and RCCA (Root Cause & Corrective Action) internal and external filed bugs.

• Leverage simulation methods to design critical test cases for the SW quality regression checks.

• Measure, track and follow to improve the performance of SW stack, components and (Deep Neural Networks) DNN algorithms from self-driving cars 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, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all partners.

What we need to see:

• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE

• At least 3+ year’s hands on testing experience in embedded software stack.

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

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

• Hands on experience of functional safety standards (ISO 26262), particularly in Autonomous systems.

• 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 experience in HIL/SIL setup and Testing. Knowledge of autonomous driving simulator (IPG Car Maker, Tass Prescan, etc...)