AI Algorithm Engineer Scientist
IntelUS, California, Santa Clara$171k – $241kPosted 30 March 2026
Job Description
Job Details:
Job Description:
Join Intel as an AI Algorithm Engineer and contribute to groundbreaking innovations in machine learning and artificial intelligence. The Client AI group is researching technological trends and advancements in client computing technology. We are seeking outstanding ML researchers in the generative AI space for building next generation code generation agents for GPU programming and developing machine learning-based solutions that drive transformative advancements across diverse domains.
The primary responsibilities for this role will include, but are not limited to:
Develop and implement machine learning models, including supervised, unsupervised, and reinforcement learning algorithms, to solve complex applied problems.
Conduct research and algorithm optimization for CPUs and GPUs to enhance performance and scalability.
Design and test software components that translate machine learning models and data processing techniques into deployable products.
Collaborate with cross-disciplinary teams to define technical requirements for AI-driven products and solutions.
Drive innovation through algorithm research and development in areas such as audio, voice, speech, and vision processing.
Debug, document, and deploy libraries ensuring robust and efficient software solutions.
Stay updated on industry trends and advancements in machine learning and artificial intelligence to identify opportunities for innovation.
Qualifications:
Minimum Qualifications :
Minimum qualifications are required to be initially considered for this position.
Degree in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field.
4 years of experience with a Bachelor's degree, 2 years with a Master's degree, or a PhD degree.
Advanced knowledge in programming languages including C /C and Python.
Solid understanding of machine learning frameworks, including model development and evaluation.
Hands-on experience in algorithm optimization for CPUs and GPUs.
Publications in first-tier highly selective international conferences such as NeurIPS, ICML, AAAI, ICLR, CVPR, ICCV, ECCV.
Preferred Qualifications:
Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Excellent programming skills in close to metal languages and experience in GPU programming with CUDA/OpenCL/Vulkan
Software engineering experience demonstrated through publicly available software and source code contributions
Experience in finetuning and training of LLMs, building RAG pipelines, model compression and design of agentic workflows.
4 publications in first tier highly selective international conferences or journals such as NeurIPS, ICML, AAAI, ICLR, CVPR, ICCV, ECCV
We are excited about the opportunity to work with talented engineers who share our vision of leveraging AI to solve meaningful problems. Join us to innovate, grow, and make a difference.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement:
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, m ... (truncated, view full listing at source)
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