Solutions Architect - Startups
Solutions Architect - Startups
22/12/2021
The rapidly growing community of AI startups is inspired by developers who are applying their passion to create a wide range of applications and services using the latest accelerated computing technologies and platforms from NVIDIA. Key areas of application development include Deep Learning/AI, Accelerated Data Science, Autonomous Vehicles, Robotics, Design & Visualization, VR/AR, Ray Tracing, and advanced technologies changing the face of PC Gaming. We are now looking for a dynamic, customer-minded Solutions Architect who is passionate about AI (artificial intelligence) areas such as machine learning (ML) and deep learning (DL) to join NVIDIA’s developer programs team. Growing and nurturing the ecosystem of developers who use NVIDIA platforms to lead the AI revolution is a critical mission, and this role is very tightly aligned with our strategic priorities. The role is very fast-moving and involves 1:1 and 1:few activities guiding developers in our online community or answering the “bat phone” to resolve specific implementations. In parallel, you will be building technical content that accelerates adoption. We’re looking an for energetic and creative Solutions Architect who want to be on the cutting edge of AI technology and are passionate about helping the rapidly expanding ecosystem of developers and AI startups build the future. What you’ll be doing: Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups Developing world-class materials that educate developers. Assets include sample applications, tutorials, white papers, technical blogs, trainings and presentations to help developers adopt NVIDIA’s SDKs and key technologies Promoting key technologies and SDKs including AMP, TRTIS, XGBoost, cuDNN, CUDA, DL/ML Frameworks, etc. Contributing to the development of hands-on training materials and exercises used in the NVIDIA Deep Learning Institute (DLI) courses, and becoming a certified instructor
What we need to see: BS/MS in Engineering, Computer Engineering, Computer Science or equivalent experience 5+ years of experience in externally facing technical role Solid understanding of best practices for solution design and implementation based on frameworks and platforms that are GPU-accelerated Experience developing software at a technology company Python or C/C++ programming and software development techniques Detailed understanding of software stack from drivers to SDKs, APIs Experience presenting to technical audiences and creating technical content for developers Ability to work independently with minimal direction Excellent written and verbal communication skills Confirmed ability to handle multiple projects simultaneously Be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc. Ways to stand out from the crowd: History of engaging and nurturing developers Hands-on experience with NVIDIA SDKs and key technologies (e.g. AMP, TRTIS, XGBoost, cuDNN, CUDA, DL/ML Frameworks) 3+ years of machine learning or deep learning experience In-depth knowledge of modern deep learning software design, data science workflows, and applications Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, and others This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, colour, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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