英伟达Test Development Software Engineer Intern, Aerial - 2026
任职要求
• Currently pursuing a Master degree in Telecommunication/Computer Science/Electronic Engineering/Computer Engineering or equivalent. • Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view. • Interested in understanding QA methodologies. • Familiarity with AI-powered testing frameworks and platforms that improve process efficiency • Proficient Linux experience and shell/python/perl programmin…
工作职责
We are looking for someone to be passionate about quality assurance. You’ll collaborate with multi-functional groups. Test Development Engineers (Intern) at NVIDIA aren't only manual testers, you will be using AI development tools to improve quality and productivity across the end-to-end QA workflow. We'd like to see your ability to identify weak spots and constantly craft better and creative test plans to break software and identify potential issues byusing AI development tools with good programming skills. You'll have a huge impact on the quality of NVIDIA's enterprise product. What you’ll be doing: • Utilizing AI-powered tools to enhance QA efficiency, including optimizing test coverage, identifying high-risk areas in software systems, automating test case generation, defect detection, and regression testing. • Work closely with multi-functional teams to understand the test requirements and take ownership of product quality. • Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports. • Build and maintain our complicated test environments. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • You will assist in the architecture, crafting and implementing of SWQA test frameworks. • Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed. • Experience in using AI development tools. Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly.
We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI SW stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI software stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
• Implement the leading AI technologies to streamline Perflab workflows, optimizing test costs and improving efficiency. • Work with NVIDIA's global experts to tackle intriguing challenges and drive impactful project developments. • Use PerfLab's advanced infrastructure to compose, build, and maintain software systems, tools, and AI agents, providing immense value to our diverse customers.
时间要求：1月到岗，要求全勤实习４-6个月。 是否提供转正机会：表现优异且通过转正面试的情况下可转正。 The Role We are looking for a highly motivated Software Product Engineer Intern to join our APAC Service Engineering team. You will parse fleet analytic data and work with Tesla Software Product Engineer to allow a future sustainable and improved product. You will develop and improve our internal engineering specifications. You will design and test new panels on the vehicle touchscreen to help service technicians diagnose and repair the different systems of the vehicle. Your outcome will have a lot of impact and travel within all Tesla vehicles worldwide! This role must be passionate about the product, highly self-motivated and a strong critical thinker with great fluency understanding technical system-level architecture and issues with software content. If you have solid coding skills, found of data-driven approaches, interested in maintaining contents and illustrations with high accuracy, willing to learn electric vehicle knowledge, and think implementing neat changes into Tesla vehicle is a cool thing, this is the role. The Department The responsibility of Service Engineering, as part of Vehicle Software Engineering, is to provide end to end engineering solution based on customer needs, to improve product's reliability, serviceability, sustainability and to implement changes to the customers based on high iteration speed. Responsibilities Web Development: Design, develop and debug diagnostic UI interfaces to enhance in-vehicle service experiences (https://service.tesla.com/en-US/service-mode). Data Analysis: Perform large-scale fleet analytics to identify and triage failure patterns using big data tools. Automated Diagnostics: Develop and test Python-based diagnostic logic to improve vehicles’ self-diagnostic capabilities. Technical documentation and Localization: Create technical illustration for clarity and localize internal engineering documentation.