Skills this job asks for
Machine learningDeep learningNetworkingCommunicationPythonC++PyTorchTensorFlowGitDocker
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Intel Corporation paid sponsored hires in similar roles287 certified filings for “Process Engineer” (Materials Engineers) in OR: $113k–$133k, median $133k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 287 certified filings for “Process Engineer” (Materials Engineers) in OR: $113k–$133k, median $133k. Most were filed at wage level III (87%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Job Details:
Job Description:
We are seeking a highly motivated candidate to join our AI Algorithm Engineering team. This is an exceptional opportunity to work on cutting-edge AI algorithm research and development projects and to contribute to real-world solutions that impact Intel's business objectives. As an AI Algorithm Engineer, you will contribute to the design, development, and optimization of AI algorithms and their integration into solutions and frameworks for a variety of cross domain applications such as computer vision, machine learning, and deep learning.
You'll research and develop new techniques for defect detection and classification within our image analysis AI framework. You will refine the algorithms for use in production facilities and ultimately implement and tune these models for performance and accuracy for particular use cases. This role may also include contributing to the development of AI software solutions in partnership with internal product teams.
You will accomplish meaningful work that supports Intel business goals in a collaborative environment.
What We Offer
Mentorship from industry-leading AI engineers and researchers
Exposure to cutting-edge AI technologies and real-world applications
Collaborative work environment with opportunities for professional growth
Networking opportunities within Intel's global AI community
Key Responsibilities
• Contribute to the research, development, and optimization of AI algorithms and stakeholder solutions
• Assist in model implementation, tuning, and performance optimization for computer vision and machine learning applications
• Engage in learning opportunities and skill-building activities aligned with career development goals
• Support various projects that advance Intel's AI algorithm engineering objectives
Behavioral Skills:
• Strong analytical and problem-solving abilities
• Excellent communication skills
• Self-motivation and ability to work effectively in team environments
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 Qualification:
• Must have completed a PhD degree in engineering or a computer science program with emphasis on Artificial Intelligence OR Master's degree engineering or a computer science program or related field with 4+ years of experience
• Specialization in an AI topic such as federated learning, image classification, or multiscale attention for object detection, computer vision, image processing, or feature engineering
Coursework/skills or experience in the following:
• Data engineering and preparation expertise: data engineering, feature engineering, data imbalance, noisy dataset management
• Python and C++
• PyTorch, TensorFlow, and OpenCV
Preferred Qualifications:
• Experience in deploying AI applications in production environments, requiring high levels of precision and accuracy
• Experience working within the semiconductor industry or similar technology sectors
• Experience with Git, cloud platforms, cloud concepts, containers, Docker, and MLOps
• Vision Language Models (VLM)
Job Type:
Tech Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Arizona, Phoenix
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 chara
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