Software Architect
3 days ago
Software Architect - Embedded Engineering, Applied Data Science
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
Join us to do the best work of your career and make a profound social impact as a Software Engineering Architect with an Embedded and Applied Data Science focus on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in Austin, Texas.
As a Software Engineering Architect with an Embedded and Applied Data Science focus on the CSG CTO Advanced Architectures team, you’ll gain experience at the Senior Director level with strong embedded engineering and data science skills and have the opportunity to develop and deliver enterprise-grade Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for working closely with other technologists, architects, experienced design engineers, product marketing, and software engineers to train and deploy AI-enabled solutions for millions of end users and internal stakeholders.
Communicate and drive strategy across business units and organizations, synthesize activity, and identify points of leverage
Directs organization activities, including teams of HW & SW engineers, data scientists, and data engineers, for delivery of complex AI/ML solutions across the client portfolio
Work with Executives across Business Units to synthesize business questions and translate them into strategy as well as work with external partners to evaluate and incorporate next-generation AI technologies into the client solutions portfolio
Deliver AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap as well as substantially contribute to AI/ML industry trends and developments in academia with a client lens, through innovative thinking, speaking engagements, and contributing participation
Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 15 years, MS + 11 years, Ph.Expert in development within the Microsoft (MS) Windows ecosystem including with client SDKs including MS DirectML, WinML, and MS Graph as well as in embedded device development in real-time operating systems (RTOS) with an awareness of nuances and caveats
Expert-level knowledge of AI / ML algorithms using C, C++, and Microsoft C#/.NET to deliver implementations as well as expert-level knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments
Expert-level experience with libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
Expert-level knowledge in one core Artificial Intelligence domain such as Computer Vision, Natural Language Processing, Reinforcement Learning, L/SLMs, Diffusion Models as well as expertise in multiple general-purpose programming languages such as C++, Java, C# and in building solutions on Azure Cloud, GCP, or other backend solution providers
If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
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