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What you will be doing
You will have a unique opportunity to be at the forefront of ensuring the flawless performance of NVIDIA's groundbreaking technology. Your contributions will directly impact the quality and reliability of our solutions, shaping the future of autonomous systems. In our fast-paced and dynamic environment, you will take on exciting challenges, including:
Developing and refining test strategies and test plans for new features, ensuring our solutions meet the highest standards of excellence.
Designing and implementing automated testing frameworks to enhance verification processes, driving efficiency and reliability in our testing pipelines.
Collaborating with multi-functional teams to gain a deep understanding of customer use cases, project requirements, and feature specifications, ensuring alignment with real-world applications.
Investigating, analyzing, and addressing issues found during testing, leading root-cause analysis and implementing effective solutions.
Enhancing and optimizing QA processes, ensuring technical excellence while continuously improving quality standards.
Providing mentorship and guidance to fellow team members, fostering a culture of collaboration, innovation, and technical excellence.
Engaging with global teams across different time zones to deliver a seamless and exceptional user experience.
What we need to see
To excel in this role, we are looking for candidates with the following qualifications:
B.E / B.Tech / MS / MCA or its equivalent degree
3+ years of relevant experience in software development
Experience in using AI coding assistants to improve coding efficiency and correctness
Knowledge in Linux and/or QNX is required
Strong embedded testing experience
Strong Python skills, with the ability to write logical scripts/code from scratch and use automation frameworks
Ability to read C/C++ and low-level code
Excellent analytical skills for solving problems
Strong interpersonal and communication skills are important
An excellent teammate demeanor, passionate about autonomous driving and related fields.
Ways to stand out from the crowd
Experience in the Autonomous driving domain
Proven understanding of Linux Kernel Internals, system software, Graphics, and Multimedia Concepts
Proficiency in industry-standard I/Os such as Display, Resource Manager, Ethernet, CAN, PCIe, and PTP or equivalent experience
LLM, GenAI Knowledge
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