苹果Software Engineer in test
任职要求
Minimum Qualifications • Bachelor’s degree in Computer Science or equivalent field with a minimum of 3+ years hands-on programming experience. • Strong knowledge of software development lifecycle, testing methodologies, QA terminology and processes Preferred Qualifications • Proven experience as an SDET or similar role, with a focus on testing eCommerce platforms or large-scale web applications. • Proficiency in programming languages such as Java. • 2+ years experience with test automation framework like Junit, TestNG etc • Analytical, methodical, inquisitive and persistent problem solver committed to driving quality forward • Ability to abstract technical details and optimally communicate to audiences at different levels • Proficient at balancing multiple efforts simultaneously and meeting strict deadlines • Solid understanding of web technologies including HTML, CSS, JavaScript, and HTTP/HTTPS protocols. • Familiarity with cloud platforms like AWS and containerization technologies (e.g., Docker, Kubernetes) is a plus. • Effective communication skills and the ability to work collaboratively in a fast-paced environment.
工作职责
Design, develop, and maintain automated test frameworks and suites using Java-based frameworks such as JUnit, TestNG to validate backend functionalities of our eCommerce platform. Collaborate closely with software engineers, product managers, and other team members to understand requirements and ensure comprehensive test coverage. Implement and complete test plans and test cases to ensure comprehensive test coverage. Perform API testing using tools like REST Assured to validate data integrity and functionality of backend services. As an automation specialist, you will define requirements and propose solutions to streamline the testing process with a strong commitment to ownership. Engage in in-depth technical dialogues with the engineering team, comprehend software workflows and use cases, and ensure the system's testability. Self-motivated, able to grasp issues quickly and make educated, critical judgment in the absence of complete requirements. Deliver timely and precise updates on testing status and quality metrics to collaborators throughout all testing phases, and compile Quality outcomes summary upon project completion. Strong analytical and problem-solving skills to effectively debug and resolve complex technical issues. Advocate for superior software testing practices within the team and foster adoption across the organization, promoting software development methodologies that enhance overall software quality. Adaptability to thrive in fast-paced environments with frequent context switching.
• Design and implement functional/performance tests for CUDA products, like driver and library. • Automate CUDA tests, design test plans and integrate into automation testing infrastructure. • Triage test results, root cause test failures or performance drops, and drive through bugs to fix. • Develop scripts/tools and optimize workflow to improve efficiency and productivity.
The Role The Infotainment Product Engineer will work closely with our Radio and Antenna engineering teams to support the launch and sustain the product lifecycle at our regional Service Centers and Gigafactory Shanghai. This role is an essential part of product development teams to understand the Design, Function and Quality metrics of our product. The role will then take this knowledge and work with our Gigafactory teams to protect for the products function and quality before, during and after our vehicle assembly process. This same knowledge will be used to support our Service Centers with any product concerns. This role will also work closely with our suppliers on any related product concerns or improvements. This engineer will be an integral member of our product development team and share the responsibility of holding our innovative product to a high level of customer satisfaction. Responsibilities: • Share the responsibility for the best execution of our infotainment products into our cars to the end of life • Collaborate on the development of multiple products with multiple cross functional teams: Electrical & Mechanical Design, Reliability, Supply Chain, Quality, Manufacturing, and other Engineering Teams • Interface directly with our design teams to clearly understand the hardware and software integration of our infotainment system and its components • Work in a complex and dynamic automotive assembly line and collaborate with the variety of manufacturing teams • Support our Project Managers by maintaining a progress tracking system that details and accounts for the variety of development tasks needed during a product lifecycle • Work with our Suppliers and Supplier Industrialization Engineers on the design, function, quality and launch of our infotainment products • Interpret, document and manage product CAD, drawings and specifications • Understand our product’s reliability, durability and environmental constraints (temp, humidity, vibration) • Support our product homologation and regulatory compliance • Troubleshoot our products, analyze and report potential root causes, and work to implement solutions • Support our Factory Firmware, and Field Service Engineering Teams in debugging our products with relative SW applications • Work with our Product Development, Factory and Service teams in testing our Radio & Antenna products at the component and system level
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.This is our life’s work — to amplify human imagination and intelligence. AI becomes more and more important in Auto Driving and AI City. NVIDIA is at the forefront of the Auto Driving and AI City revolution and providing powerful solutions for them. All these solutions are based on GPU-accelerated libraries, such as CUDA, TensorRT and V/LLM inference framework etc. Now, we are now looking for an LLM inference framework developer engineer based in Shanghai. What you’ll be doing :• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance • Performance analysis, optimization and tuning • Closely follow academic developments in the field of artificial intelligence and feature update • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams