Jobs / United States / Intel Corporation
AI-Driven Physical Design Engineering (PhD Intern)
Intel Corporation · 🇺🇸 5 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Intel Corporation paid sponsored hires in similar roles11 certified filings for “SoC Design Engineer” (Architectural and Engineering Managers) in TX: $160k–$224k, median $192k. Most were filed at wage level II (36%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Intel Corporation
The US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intel Corporation →
About the role
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 Apply now to be part of Intel's journey to create groundbreaking technologies that transform industries and improve lives. 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 informati