AI Software Solutions Engineer

The Client Computing Group (CCG) at Intel is responsible for business strategy and product development for Intel's PC products and platforms, including notebooks, desktops, 2 in 1s, and all in ones. The group works with industry partners to deliver computing experiences that enable users to focus, create, and connect.

• Bachelor's degree in Computer Science, Engineering, or a related specialized field
• 6+ years of experience in AI software development or validation with a Bachelor's degree, 4+ years with a Master's degree, or 2+ years with a PhD
• Proficiency in Python for AI development, debugging, and software validation
• Expertise in AI frameworks, including optimization techniques, algorithm design, and model quantization
• Experience with AI productization platforms and end-to-end integration workflows in a containerized environment
• Proven capabilities in bug/issue analysis and customer support for technical solutions

Preferred Qualifications:

• Strong problem-solving skills with the ability to address performance bottlenecks and optimize resource utilization
• Familiarity with OpenVINO toolkit and AI pipelines for Vision and/or Generative AI
• Demonstrated ability to work collaboratively with cross-functional teams, customers, and ecosystem partners
• Excellent communication skills with a track record of providing technical guidance and thought leadership

• Lead integration and validation of AI solutions, ensuring optimal performance on Intel hardware platforms
• Research technical trends and market demands to identify integration opportunities for Intel AI solutions
• Validate and benchmark AI models and pipelines optimized with OpenVINO toolkit across Intel CPUs, integrated GPUs, and NPUs
• Serve as senior technical advisor and Customer 0 representative, defining validation approaches and frameworks for AI solutions (including applications, microservices, and libraries)
• Partner with customers and ISVs to integrate Intel's Edge AI Suites & Libraries into their production environments
• Lead performance benchmarking initiatives and competitive analysis for AI workloads on Intel platforms
• Collaborate with product teams to provide validation feedback and drive requirements for future AI capabilities

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, or any other characteristic protected by local law. This role is eligible for a hybrid work model allowing split time between on-site and off-site work.