Software Architect - Embedded Engineering, Applied Data Science

Dell Technologies - Austin, TX

Full-time - Senior

Austin, TX

Computer and Electronic Product Manufacturing

About the position

The Software Architect position focuses on Embedded Engineering and Applied Data Science within Dell's Client Solutions Group. The role involves developing and delivering enterprise-grade AI and Machine Learning solutions across client devices, collaborating with various teams to enhance user experiences and drive innovation in the AI-enabled PC ecosystem.

Responsibilities

• Develop a unified AI/ML strategy applicable across the client solutions product portfolio.
• Communicate and drive strategy across business units and organizations, synthesizing activity and identifying points of leverage.
• Direct organization activities, including teams of HW & SW engineers, data scientists, and data engineers, for delivery of complex AI/ML solutions.
• Work with Executives across Business Units to synthesize business questions and translate them into strategy.
• Deliver AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap.

Requirements

• 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.D. + 8 years minimum.
• Expert in development within the Microsoft Windows ecosystem including client SDKs such as MS DirectML, WinML, and MS Graph.
• Expert-level knowledge of AI/ML algorithms using C, C++, and Microsoft C#/.NET.
• Expert-level experience with libraries and runtimes such as PyTorch, TensorFlow, TensorRT.
• Outstanding communication skills and the ability to explain difficult analytical methods to technical and business stakeholders.

Nice-to-haves

• Expertise in communicating AI outcomes using presentation, visualization, and various dashboard technologies.
• Experience working across large organizations and guiding teams across multiple programs.
• Expert-level knowledge in one core Artificial Intelligence domain such as Computer Vision, Natural Language Processing, or Reinforcement Learning.

Benefits

• Opportunity to work with leading AI technology companies and skilled engineers.
• Access to advanced technology and innovative projects.
• Career growth opportunities within a unique family of businesses.