AIDriven Physical Design Engineering PhD Intern

Intel Corporation; Austin (TX); On-site; USD 142,000 - 143,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation is seeking an AI-Driven Physical Design Engineering PhD Intern to leverage AI/ML for silicon physical implementation. You will develop AI-powered workflows, build data analysis capabilities, and design adaptive systems to enhance execution efficiency and data-driven decision making.

Based in the US, you will collaborate with the Data Center Group and cross-functional teams to benchmark AI approaches against traditional methods, driving measurable improvements in Power,

Qualifications

• Enrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Familiarity with scripting languages like Python or TCL for flow automation and debugging.
• Understanding of RTL design and verification.

Responsibilities

• Research and implement AI/ML techniques to improve physical design processes.
• Develop AI-enhanced workflows for high-performance silicon implementation.
• Build ML-powered data analysis pipelines for faster design decisions.
• Design Graph Neural Network based systems to support intelligent design execution.
• Develop automation frameworks using Python and ML libraries (TensorFlow or PyTorch) alongside TCL/Perl.
• Collaborate with cross-functional AI research and design teams to align AI strategies.
• Benchmark AI-driven methods against traditional approaches to improve PPA.

Skills

Problem solving

Teamwork

Communication

Education

PhD candidate in Electrical Engineering / Computer Engineering / Computer Science

Tools

Synthesis tools

Place & Route tools

Timing analysis software

Job description

Job Details:

Job Description:

The Role and Impact:

Intel is seeking motivated individuals to join its dynamic design engineering team as an AI-Driven Physical Design Engineering PhD Intern. This role offers a unique opportunity to leverage artificial intelligence and machine learning techniques to revolutionize the physical implementation of cutting-edge silicon designs. You will focus on developing AI-powered workflows, building intelligent data analysis capabilities, and designing adaptive systems that enhance execution efficiency and optimize implementation strategies through data-driven decision making.

Business Group:

The Data Center Group (DCG) is at the forefront of developing high-performance computing solutions that power the world's data-centric applications. This team is dedicated to designing innovative silicon technologies that support Intel's mission to lead in processing, storage, and networking solutions for data centers. Join a group committed to shaping the future of technology by solving complex challenges and driving performance enhancements.

Key Responsibilities:

• Research and implement AI/ML techniques to identify new opportunities for improving physical design processes and methodologies.
• Develop AI-enhanced workflows for high-performance silicon implementation that reduce manual effort and improve design quality.
• Build ML-powered data analysis and summarization pipelines to enable faster, more accurate design decision-making.
• Design and implement Graph Neural Network (GNN) based systems to support dynamic, intelligent decision-making in design execution.
• Develop intelligent automation frameworks using Python, and ML libraries such as TensorFlow or PyTorch, alongside traditional scripting in TCL and Perl.
• Collaborate with cross-functional AI research and design engineering teams to align AI-driven strategies with broader project objectives.
• Evaluate and benchmark AI-driven methodologies against traditional approaches to demonstrate measurable improvements in PPA (Power, Performance, Area).

Qualifications:

Minimum Qualifications:

• Enrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Proficiency in industry-standard tools for physical design, including synthesis, place and route, and timing analysis software.
• Familiarity with scripting languages like Python or TCL for flow automation and debugging.
• Understanding of digital design concepts and methodologies, including RTL design and verification.

Preferred Qualifications:

• Strong problem-solving skills with a creative and innovative mindset.
• Ability to work effectively in a collaborative, team-oriented environment.
• Exceptional organizational and communication skills to drive alignment across diverse teams.
• Understanding of Graph Neural Networks (GNNs) or graph-based algorithms
• Experience with data analysis tools (Pandas, NumPy, Matplotlib)
• Knowledge of reinforcement learning concepts for design optimization
• Strong Python programming skills with ML application experience
• Background in EDA tools and physical design fundamentals

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

US, Colorado, Fort Collins, US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro, US, Texas, Austin

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

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .

Annual Salary Range for jobs which could be performed in the US: $141,998.00-142,002.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 02/09/2027

ADDITIONAL INFORMATION:

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.

We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.