Software Embedded Engineering Architect

Software Embedded Engineering Architect

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 Embedded Engineering Architect on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in Austin, Texas.

 
What you’ll achieve
As a Software Embedded Engineering Architect, you’ll gain experience as an embedded software architect with strong data science skills and have the opportunity to develop and deliver enterprise-grade Artificial Intelligence (AI) and Machine Learning (ML) 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. 

You will:

• Guide teams of HW & SW engineers, data scientists, and data engineers to deliver the complete life cycle of complex AI/ML solutions on client devices as well as architect AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Collaborate with engineering and operations teams to architect and develop data pipelines spanning the client ecosystem, both on and off device as well as collaborate across organizations, with engineering and operations teams to integrate and deploy ML solutions across client devices with cloud integration
• Participate with PC business units to synthesize business questions and translate them into architecture
• Deliver experiences using data, advocate and execute strategies to adopt data and data science in all business and architectural resolutions
• Provide AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap

Take the first step toward your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for in this role:

Essential Requirements:

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 12 years, MS + 8 years, Ph.D. + 5 years minimum
• Advanced experience with development in the Microsoft (MS) Windows OS including with client SDKs including MS DirectML, WinML, and MS Graph as well as with embedded device development in RTOS environments
• Progressive knowledge of AI / ML algorithms using C, C++, and Microsoft C#/.NET to deliver implementations as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments as well as advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
• Excellent communication skills and the ability to explain difficult analytical methods to technical and business stakeholders
• Evidence of leadership skills in software development, data science organizations, or other cross-functional teams

Desirable Requirements:

• Experience working with cloud-based applications in Azure as well as guiding teams across multiple programs and interacting across organizations
• Know-how of development in PC BIOS / UEFI, embedded controllers, management engine, or other firmware environments and experience working with Open Neural Network Exchange (ONNX) models, the ONNX run time (ORT), and Execution Provider (EP) development as well as advanced use of hardware vendor toolchains such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software 

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. 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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