AI Software Solutions Engineer

AI Software Solutions Engineer – Intel Corporation

AI Software Solutions Engineer role at Intel Corporation
. Engage in end‑to‑end AI platform development, research, prototyping, and productization of machine learning techniques.

• Build machine learning products that provide descriptive, diagnostic, predictive, or prescriptive models based on data.
• Develop and apply machine learning algorithms such as supervised, unsupervised, deep learning, reinforcement learning, generative AI, large language models, and others to solve applied problems in Data Analytics, Computer Vision, NLP, Recommendation Systems, Graph Neural Networks, Robotics, etc.
• Interact with users to define requirements for breakthrough products or solutions and translate machine learning models and data processing methods into software.
• Program, test, debug, document, or deploy solutions/products.
• Engineer big data computing frameworks, data modeling, and other relevant software tools. Play a key technical role for end‑to‑end machine learning and deep learning platform development based on various frameworks and hardware such as CPU, GPU, accelerators.
• Develop AI/ML solutions and methodologies to bring best performance, accuracy, efficiency, and ease‑of‑use to customers, working with internal and external partners.

• End‑to‑end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper‑parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving.
• Algorithm and model development of advanced technologies in computer vision, natural language processing, large language model, recommendation, graph analytics, reinforcement learning, and other domains.
• Machine learning framework and workload performance profiling, optimization, insights generation for benchmarks such as MLPerf and real‑world customer use cases.
• Software and tools development in Python, C++, and other languages as required.

• Excellent written and oral communication skills.
• Clear technical communication of details and concepts.

• Master’s degree or Ph.D. in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace Engineering, applied mathematics, mechanical engineering, or related technical disciplines.
• 6+ months experience in deep learning foundational frameworks such as PyTorch, Tensor Flow on CPU, GPU, or AI accelerators.
• 6+ months experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM, or SGLang.
• GenAI end‑to‑end workflow development and deployment for model serving, RAG, and agentic systems.
• Inference optimization for deployment.
• Patents, publications, or technical reports on GenAI innovation.

Intel offers a comprehensive rewards package that includes competitive pay, stock awards, bonuses, health, retirement, and vacation benefits.

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