AI Software Solutions Engineer

The Software Team at Intel drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group develops holistic strategies for client and data center software in collaboration with OSVs, ISVs, developers, partners, and OEMs. It delivers specialized NPU IP for AI PCs and GPU IP supporting all Intel market segments, with hardware and software engineering experts responsible for IP, SOCs, runtimes, and platforms supporting CPU and GPU/accelerator roadmaps, including integrated and discrete graphics.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, or equivalent.
• 3+ years of professional experience with a Bachelor's degree, 2+ years with a Master's degree, or 0 years with a PhD.
• Proficiency in Python software engineering, including experience with Python 3.10+.
• Object-oriented programming expertise and familiarity with libraries such as NumPy and Pytest.
• Demonstrated ability to design highly optimized software and algorithms.
• Familiarity with working in Linux environments.
• Proven problem-solving ability and a proactive approach to challenges.

Preferred Qualifications:

• Knowledge or experience in AI, machine learning, or deep learning.
• Experience with frameworks such as PyTorch, vLLM, or other ML tools.
• Understanding of GPU architecture and parallel programming concepts.
• General knowledge of deep learning/machine learning operators, profiling, and logging.
• Strong communication skills and ability to work globally across diverse groups and stakeholders.

• Research technical trends and utilize deep domain expertise to prototype and develop AI software solutions, including open-source libraries and models.
• Optimize AI model performance using frameworks, algorithms, models, and hardware features.
• Adjust and develop AI models, code, parameters, and quantization techniques to enhance operational efficiency and solve performance issues.
• Collaborate with AI algorithm and framework engineers to optimize end-to-end AI models for Intel hardware features.
• Provide technical enabling and serve as a trusted advisor to internal and external stakeholders.
• Partner with Intel hardware and software teams to accelerate and optimize future products in AI and high-performance computing domains.
• Deliver benchmark collateral and drive key workloads into product requirements while architecting innovative projection tools and methodologies.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, age, disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender identity or expression, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.