英伟达Robotic Solution Architecture Intern

• Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms; • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware; • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision; • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability; • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection; • Collaborate with researchers on model training, data processing, and MLOps lifecycle.

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers.  You will work closely with industry sales, developer relationship managers and product teams in the hiring position. What you’ll be doing: • Assist in supporting industry accounts and driving research/influencing/new business in those accounts. • Assist researchers/engineers on their GPU applications. • Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team. • Provide technical support for GPU system deployments. • Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications. • Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

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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.