Do you enjoy working with ‘Autonomous Systems of Automated Driving’? If so, we are looking for a hardworking engineer passionate about Automotive Software quality to join the Automotive QA group. This position will be part of a dynamic crew that tests and maintains the quality of complex heterogeneous computing systems that power state of the art automotive products used in self-driving cars. As a Senior Test Development Engineer, you will develop and execute exploratory and automated tests to ensure self-driving car SW/HW stack meets 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 regular interaction with module leads , release managers and other cross-functional teams.
Join us at the 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 will be doing:
Define and develop comprehensive test strategies and test procedures based on functional and test design specifications of ADAS (Advanced Driver Assist Systems) Applications.
Identify , record, document, and regress internal and external filed bugs.
Participate in review and provide feedback on product feature requirements, specifications, and technical design documents.
Work closely with V&V (verification & validation) infrastructure team on overall product test strategy to satisfy ISO 26262 demonstrate safety of autonomous vehicles
Write python-based scripts, implement simulation scenarios. Working closely with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all partners.
Work on cloud-based test tools and automation of tests on Automotive platform using NVIDIA Test framework.
What we need to see:
B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE
At least 3+ years of professional experience in Embedded Software Validation preferably in the field of Autonomous Vehicle/ADAS domain.
Experience with Linux and/or QNX is required .
Good Knowledge of Python scripting language is required – able to write logical scripts/code from scratch.
Good experience in ADAS verification and validation of Scenarios using Hardware-in-Loop (HIL) and Software-in-Loop (SIL) Simulation setup.
Good understanding of autonomous driving stack modules such as sensor fusion, radar perception , camera perception , localization, behavior planning, HD maps etc
Knowledge of applicable safety standards and regulations ( ASPICE , ISO 26262), industry benchmark. Up-to-date technical knowledge in the automotive industry.
Experience in using Configuration Management tools (Git, Perforce) and Agile scrum tools (JIRA, JAMA).
Should be good analytical skill, an excellent teammate, with passion towards new technologies /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 AV driving simulator ( IPG Car Maker, Tass Prescan , etc…)
C++ coding experience. Understand the large C++ project code and derive functional/unit test.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
Learn more about NVIDIA (http://www.nvidia.com/object/about-nvidia.html#sthash.qlXKW56Q.dpuf) .