Jobs / United States / Intel Corporation
Neuromorphic/AI Research Scientist
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 roles15 certified filings for “Research Scientist” (Computer and Information Research Scientists) in OR: $133k–$154k, median $141k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% 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.
Or apply yourself on the official page →
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: Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi series research chips have pioneered event-driven, sparse, and massively parallel neuro-inspired processing, resulting in over 100 peer-reviewed publications. As part of Intel's CTO Office, we're now transforming these research breakthroughs into real-world products that will power the next generation of physical AI systems. We are seeking a Neuromorphic AI Research Scientist to advance state-of-the-art neuromorphic processor technology toward commercial adoption. This role focuses on modeling, prototyping, and defining architectures and algorithms that enable transformative gains for real-world customer applications in edge computing, signal processing, and autonomous systems. Key Responsibilities • Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms • Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation • Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization • Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications • Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies • Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals • Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders As a successful candidate, you must possess • Innovative Problem-Solving: Skills to approach complex challenges with creative, out-of-the-box thinking • Collaborative Leadership: Strong interpersonal skills to work effectively across diverse, multidisciplinary teams • Adaptability: Flexibility to navigate the dynamic landscape of emerging AI technologies • Communication Excellence: Skills to articulate complex technical concepts to both technical and non-technical audiences • Results-Oriented Mindset: Drive to translate research innovations into practical, commercial solutions • Intellectual Curiosity: Passion for continuous learning and staying at the cutting edge of neuromorphic computing Join Intel's pioneering team and help define the next wave of AI technology that will transform industries and create new possibilities. Apply today to be part of this groundbreaking journey from research to real-world impact. 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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. - 1+ projects demonstrating the skills to turn research ideas into working prototypes and to evaluate them rigorously (benchmarks, baselines, ablations, quantitative reporting). - 3+ publications in leading journals or conferences on AI/ML, edge computing, robotics, and/or control. - 2+ years of experience with: • State-of-the-art AI models, optimization, and at least one of: control/dynamical systems, signal processing,