Embedded Engineering Technologist
Dell
- Austin, TX
- Permanent
- Full-time
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
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 OS to 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
- 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