Job Details:

Job Description:

• Evaluates, develops, specifies, and communicates deep learning (DL) hardware structures and interfaces that accelerate DL software.
• Provides a comprehensive view of solutions and supporting pre and postsilicon activities in multiple domains.
• Leads systems innovations to advance model efficiency on device and in the cloud, including quantization, architecture search, and model compression using auto machine learning (ML) methods.
• Impacts and influences the artificial intelligence (AI) product roadmap and development based on profound comprehension of AI and DL algorithms, DL customer requirements, and DL software frameworks.
• Collaborates with product and algorithm teams to analyze next generation requirements and opportunities and influences and guides research and academic collaboration in the space of AI and DL.
• Performs activities related to platform research in ML, such as compute in memory, ondevice learning, edgecloud distributed learning, and quantum ML.
• Develops complex performance and power models using ML/DL techniques.
• Collects and analyzes design performance and power data on pre and postsilicon platforms using simulation and emulation and by developing the enabling firmware, software, tools, and automation solutions.
• Works closely with various teams including customerfacing and architectural design teams to explore and validate the performance and power of the next generation of silicon products.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

• Master's degree or higher in Computer Science, Engineering, Mathematics, or a related technical field.
• Proficiency in Python and deep learning libraries such as TensorFlow, PyTorch, or Keras.
• Experience in developing and implementing deep learning models.
• Solid understanding of neural network architectures and optimization techniques.
• Experience with Linux environment, code versioning (git) and remote environment setup.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

Preferred Qualifications:

• PhD in Computer Science, Engineering, Mathematics, or related field.
• Previous experience in deep learning model compression.
• Expertise in natural language processing (NLP), computer vision (CV) or Large Language Model (LLM).
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location:

Ireland, Leixlip

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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, 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.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.