Jobs / United States / Intel Corporation

Intel Corporation

JR0288354 System Software Validation Engineer - Edge, Physical AI, and Robotics

US, Arizona, Phoenix Posted today

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Skills this job asks for

TriageComplianceLinuxPythonCI/CDLLMs

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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.
  • 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.
  • What Intel Corporation paid sponsored hires in similar roles78 certified filings for “Software Engineer” (Software Developers) in AZ: $111k–$140k, median $120k.
  • 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
78 certified filings for “Software Engineer” (Software Developers) in AZ: $111k–$140k, median $120k. Most were filed at wage level II (59%) — 2 lottery entries, ≈31% 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: Job Description Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a System Software Validation Engineer, you will play a critical role in ensuring the functionality, quality, and reliability of Intel's cutting-edge software solutions. You will design and develop validation environments, create validation plans, and debug software across the stack to support product development. Your work will directly contribute to improving software quality, enhancing automation, and streamlining product release efficiency in Intel's dynamic engineering environment. Business Group Intel Corporation's engineering division drives innovation by delivering world-class technology solutions that shape the future of computing. This group focuses on developing, validating, and optimizing software across diverse platforms and technologies to support Intel's broader mission of pushing the boundaries of what is possible in computing. Joining this team means being part of a group committed to solving complex challenges and advancing the digital world. Key Responsibilities - Design and develop software validation environments to ensure product functionality and reliability. - Create and execute validation plans and automation methodologies. - Triage and debug software failures, recommending or developing corrective actions. - Analyze validation results to confirm functionality and compliance with standards. - Write and maintain validation procedures and standards to drive consistency and quality improvements. - Assess and implement innovative methods to enhance validation efficiency and automation. Qualifications: Qualifications You must possess the below minimum qualifications 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. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Required Qualifications • Bachelor's degree in Computer Engineering, Software Engineering, Electrical Engineering, Computer Science, or a related field. • 2+ years of experience in software development, integration, validation, and debugging across complex software systems. • Linux Enthusiast with 1+ years of experience one or more of the following: Developing and Optimizing Kernel Components, Device Drivers, and User-Mode Drivers for Graphics, AI, and High-Performance Compute Platforms. • 2+ years of experience in C and Python. • 2+ years of experience in software debugging, performance analysis, root-cause investigation, and problem resolution using industry-standard tools and methodologies. • 2+ years of experience designing and implementing automated test frameworks, validation infrastructure, and continuous integration workflows. Preferred Qualifications: • Familiarity with Intel architectures, GPUs, AI accelerators, system software, and platform technologies. • Solid understanding of Large Language Models (LLMs), Transformer architectures, Generative AI, and model lifecycle management, including training, fine-tuning, optimization, and deployment. • Strong foundation in computer science fundamentals, including Oper

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