Jobs / United States / Intel Corporation
AI software application developers (CG)
Intel Corporation · 🇺🇸 2 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 roles139 certified filings for “Software Engineer” (Software Developers) in CA: $144k–$178k, median $156k. Most were filed at wage level III (52%) — 3 lottery entries, ≈46% 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: Job Description Intel DCG China NEX team develops distributed AI infrastructure and software solutions powered by Intel Xeon and GPU products. Our work focuses on large-scale AI systems and applications, including Large Language Models (LLMs), Robotics, Vision AI, Physical AI, and next-generation intelligent systems. We are seeking highly motivated graduates to join our team and help build innovative AI software platforms and infrastructure. Responsibilities • Design, develop, and optimize software for AI applications and infrastructure. • Build scalable and efficient systems for AI training, inference, and model serving. • Develop distributed software components for compute, communication, storage, scheduling, and resource management. • Research and implement innovative technologies to improve the performance, scalability, reliability, and efficiency of AI systems. • Analyze and optimize system bottlenecks across hardware and software stacks. • Collaborate with engineers and researchers across Intel to evaluate emerging technologies and develop next-generation AI solutions. • Contribute to software architecture, prototyping, benchmarking, performance analysis, and product development for AI platforms. • Stay current with advancements in AI, machine learning, distributed systems, and software engineering technologies. Qualifications: Qualifications • Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Electronic Engineering, Robotics, Mathematics, or a related technical field. • Strong programming skills in Python, C/C++, Rust, or similar programming languages. • Solid understanding of data structures, algorithms, operating systems, computer architecture, and software engineering fundamentals. • Basic knowledge of machine learning, deep learning, and AI system concepts. • Experience through coursework, research projects, internships, open-source contributions, or personal projects in software development, AI, or distributed systems. • Strong analytical and problem-solving skills, with the ability to learn and apply new technologies quickly. • Good verbal and written English communication skills. • Strong collaboration and teamwork skills, with the ability to work effectively in a global and cross-functional environment. • Self-motivated, results-oriented, and passionate about technology innovation and AI system development. Preferred Qualifications Experience or project background in one or more of the following areas: • AI model training and inference optimization, including LLMs, multimodal models, vision AI, robotics, or physical AI. • Distributed AI systems and infrastructure, such as model serving, distributed computing, scheduling, networking, storage, and resource management. • Reinforcement learning, AI agents, robotics, or intelligent decision-making systems. • AI frameworks and tools such as PyTorch, TensorFlow, JAX, vLLM, SGLang, or related technologies. What We Offer • Opportunities to work on cutting-edge AI technologies and large-scale AI infrastructure. • Collaboration with experienced engineers and researchers across Intel's global teams. • Exposure to state-of-the-art AI systems, distributed computing, and performance optimization technologies. • A dynamic environment that encourages innovation, continuous learning, and career growth. • The opportunity to make a direct impact on the future of AI infrastructure and intelligent computing. Join Intel and help shape the future of AI infrastructure and intelligent systems Job Type: College Grad Shift: Shift 1 (China) Primary Location: PRC, Shanghai Additional Locations: PRC, Beijing Posting Statement: All qualified applicants will receive consideration for employment without regard to race, c