Embedded Engineering Technologist

Embedded Engineering Technologist

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 an EmbeddedEngineering Technologist on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in Austin, Texas.

What you’ll achieve
As an Embedded Engineering Technologist, on the CSG CTO Advanced Architectures team, you’ll gain experience as an embedded software engineer and have the opportunity to gain strong data science skills 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. 

You will:

• Collaborate across organizations, with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems 
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions

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 + 8 years, MS + 5 years, Ph.D. + 2 years minimum 
• Solid experience developing for Microsoft (MS) Windows OSto include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
• Extensive knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Articulate communicator with the ability to explain difficult analytical methods to technical and business stakeholders
• Experience working in software development or other cross-functional teams, with strong leadership, mentorship, and coaching skills 

Desirable Requirements:

• Experience working with cloud-based applications in Azure as well as leading small teams
• Familiarity with development in PC BIOS / UEFI, embedded controllers, management engine, or other firmware environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain 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.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live, and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date:  5 April 2024

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Dell’s Flexible & Hybrid Work Culture

At Dell Technologies, we believe our best work is done when flexibility is offered.

We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.