英伟达Solution Architect, HER
任职要求
• Masters/Ph.D in Computer Science, Electrical Engineering, or a related field. 5 years above working experience. • Programming experience and proficiency in CUDA, Python, C/C++, and familiar with Linux developing environment. • Deep understanding of accelerated computing, AI for science, Robotics, Simulation Technology, Agentic AI, physical AI and LLM ecosystem • Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, VLA, Agentic AI and Physical AI. • Ability to communicate effectively in a collaborative environment. • Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities Ways to stand out from the crowd: • Experience and/or theoretical knowledge in accelerated computing, Robotics, AI for life science, VLA, GAI, Physical AI, etc • Knowledge in Isaac Sim/Lab, Omniverse for digital twins, AI models training and inference for protein structure, medical imaging, gene computing, transformer/diffusion model, understanding the optimization methods, and having published relevant papers. • Skills in CUDA, Robotics and deep learning frameworks (i.e TensorFlow or PyTorch).
工作职责
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, Acceleration Computing and Visualization. We are looking for a Solution Architect to work with China research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically CUDA, acceleration computing SDKs, robotics tools, generative AI & agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include supporting business development team to close deals, helping our customer to use NVIDIA tools and softwares, bridging the researchers and developers from university to NVIDIA teams. What you’ll be doing: • Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, Robotic, Life science, LLM, VLM, VLA, GAI and agentic AI). • Conduct AI engineering via playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products. • Deliver NVIDIA tools and software to researchers and developers. Present value of NVIDIA total solution to customers. • Assist in building AIGC, AI4S tools with the state-of-the-art AI models. It can also help the AI community use multiple NVIDIA SDKs or frameworks (esp. PhysicsNeMo/Modulus/CUDA-Q/Isaac/BioNeMo) to realize fantastic ideas!
• You will lead, drive, and manage engagements for repeatable achievement of revenue and consumption targets. • You will leverage practices to guide customer strategy and future growth to expand the use of Azure by cultivating customer affinity with Microsoft programs/solutions that drive impact for the customer and establishing Microsoft as a leader. Provide feedback to Microsoft on customer development needs, customer blockers, or mitigation strategies. • You will conduct analyses into what customers are using versus needs. Drive consumption (cloud and support) with customers based on analysis of both usage and needs. Leverages insights to provide guidance and recommendations to customers that expands, retains, and/or optimizes the customer’s Azure consumption. • You will run Architectural Design Session(s) to build plans for implementing solutions which align to customer business goals and technical environments. • You will collaborate and orchestrate with other Digital Cloud Solution Architects and the Microsoft ecosystem to ensure properly deployed cloud solutions on Azure. • Through close engagement with the customers the DCSA will work to meet or exceed monthly, quarterly, and annual team targets and accurately manage their customer progress in Customer Relationship Management (CRM) to forecast, assess risk, and identify performance plans in weekly deal and pipeline reviews with their manager. • Other: Embody our Culture and Values
Role: Tesla Energy is looking for a motivated Firmware Integration Engineer to bring the next generation of Residential and Industrial charging products to the market. As a member of the Firmware Integration team, you will be responsible for delivering high quality firmware, software, and hardware to the manufacturing line. You will architect the software solutions for manufacturing quality Energy products (e.g. Powerwall, Megapack) in our factories. Rethink manufacturing processes and test equipment dependency with our in-house product and design teams. Engineer a software stack capable of ultra-high volume production capacity across our entire supply chain. Ensure flexibility within our product design and manufacturing test functionality to achieve critical business objectives. You will have the opportunity to solve challenging problems on the production line and in the field. Collaborate closely with hardware, manufacturing, and service engineering to design firmware and automation solutions for a seamless commissioning experience. You will show outstanding organizational and communication skills and an eagerness to learn in an ever-evolving environment. Manage your projects with a positive attitude and be a team player in a collaborative work environment. Responsibilities: · Develop, enhance and debug new and existing software in C, Python, or Golang. · Perform hardware and firmware integration of current and next generation Tesla charging systems. · Author product test specification of home and commercial charging products for optimal coverage at each step in the assembly process. · Design robust and exhaustive test procedures for high voltage power electronics, battery modules, thermal systems, and solar product assemblies. · Contribute to software architecture design, development of software applications, and integration into manufacturing processes and production lines. · Track and communicate project status and risks to the wider organization. Interact with engineers from multiple teams. · Hands-on with hardware bring up, debug issues and devise solution paths. · Provide technical and leadership excellence for the team. You will make critical decisions and lead from the front with support from experienced engineers. · The position duties may require travel to Tesla and/or supplier factories.

- Analyzing client functional&nonfunctional requirements, supporting pre-sales team to design solutions, and set up proofs-of-concept. - Design overall solution architecture proposal. Planning suitable products/platforms and customization design to meet client's needs. And evaluating necessary resources, effort, and timeline. - Onsite AI system deployment, testing, and maintenance support. - system issue troubleshooting, consolidating issue log, and reporting.
As a Solutions Architect within Amazon Web Services (AWS), you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon’s utility services (Amazon EKS, Amazon S3, Amazon EC2, and Amazon EMR, Amazon DynamoDB etc) within strategic accounts. Your responsibilities will include: broad Automotive Industry know-how around OEM, AutoTech, Tier1 customers business value chain and business expansion for both International and domestic as well as owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies. The ideal candidate will possess customer facing skills that will allow them to represent Amazon well within a customer’s environment and drive discussions with senior personnel within the company, as well as a technical background that enables them to easily interact and give guidance to software developers and architects. You should also have a demonstrated ability to think strategically about business, product, and technical challenges. A day in the life · Serve as a key technical owner of the Business Development team in helping to ensure customer success in building Auto industry platform and applications on the AWS. · Scope each customer engagement, with attention towards clear and well-defined objectives and success criteria. · Own each technical engagement, and help ensure a timely and successful delivery of value. (delivery of actual solutions to be done by AWS partners) · Capture and share best-practice knowledge amongst the solution architect community. · Understand the AWS market segments, customer base, and Auto industry verticals.