Software Test Developer and Automation Engineer - Automotive

2 Days ago • 3 Years + • Quality Assurance

Job Summary

Job Description

This role involves developing and implementing automated testing frameworks for NVIDIA's DriveOS automotive operating system. Responsibilities include designing test strategies and plans, collaborating with multi-functional teams, investigating and addressing issues found during testing, optimizing QA processes, and mentoring team members. The ideal candidate will have strong Python skills, embedded testing experience, and knowledge of Linux/QNX. This is a crucial role ensuring the flawless performance and reliability of NVIDIA's autonomous driving technology.
Must have:
  • 3+ years software development experience
  • Strong Python and automation skills
  • Embedded testing experience
  • Linux/QNX knowledge
  • Analytical and problem-solving skills
  • Excellent communication skills
Good to have:
  • Autonomous driving domain experience
  • Linux Kernel Internals understanding
  • Proficiency in industry-standard I/Os
  • LLM, GenAI Knowledge

Job Details

This is a great chance to create a real impact by testing NVIDIA’s DriveOS automotive operating system. As a highly skilled and motivated senior software developer, you will push the boundaries of testing and automation, shaping our verification strategy and influencing the future of our test automation systems. If you're passionate about self-driving technology and ready for a challenge, we want to hear from you!

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.

Your expertise in testing and automation will be instrumental in shaping the success of NVIDIA's cutting-edge technology, ensuring we deliver world-class solutions to our customers.

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

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Come be a part of this exciting world, at NVIDIA.

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. Please contact us to request accommodation.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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