Dell Embedded Software Engineer 

Singapore, Singapore 

814724128

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What you’ll achieve

As anon theteam, you’ll gain applied application and firmware development experience working with a team of data scientists, machine learning engineers, and data engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms and working with data scientists, data, and ML engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with data scientists/data engineers to integrate and deploy AI applications on client devices with possible backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, 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

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 + 5 years, MS + 3 years minimum, or PhD.
• Solid experience developing for Microsoft (MS) Windows OS to include client Software Development Kits (SDKs) and experience with embedded device development in at least one RTOS, multiple RTOSes preferred.
• Strong knowledge of one or more of C, C++, and Microsoft C#/.NET as well as strong experience with embedded systems, and nuances of their application in Client ecosystems
• Solid communicator with the ability to describe methods to team members with a solid understanding of embedded software design and development.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, Excellent knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software preferred.