Skills this job asks for
Product managementLLMsLeadershipData engineeringCommunication
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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 176 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 Western Digital Technologies INC paid sponsored hires in similar roles35 certified filings for “Staff Engineer, Hardware Development Engineering” (Industrial Engineers) in CA: $120k–$163k, median $145k.
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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 176 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 Western Digital Technologies INC paid sponsored hires in similar roles
- 35 certified filings for “Staff Engineer, Hardware Development Engineering” (Industrial Engineers) in CA: $120k–$163k, median $145k. Most were filed at wage level II (44%) — 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
WD's CTO System Architecture is seeking a Senior Technologist to lead AI adoption, tool development, and best practices across our technology planning, roadmap execution, and cross-functional engineering processes. You'll define how WD uses AI agents, large language models, and intelligent automation to improve strategic decision-making, operational visibility, and organizational alignment — influencing adoption across System Architecture and cross-functional technology and engineering teams.
This is a high-impact, high-visibility role for a technologist who combines deep AI expertise with strategic thinking, mentorship capability, and the drive to transform how an organization plans and executes technology strategy at scale.
Essential Duties and Responsibilities:
What You'll Do
• Define AI Vision — Establish WD's adoption roadmap and best practices for AI agents, LLMs, and intelligent tools across technology planning and engineering processes
• Lead AI-Managed Roadmap Platform Evolution — Guide post-launch improvements to our AI-enabled technology roadmap dashboard and chat interface, ensuring it becomes the organization's single source of truth
• Develop High-Impact Agents — Oversee design and development of transformational AI agents that automate status tracking, gap identification, and insight generation
• Influence Cross-Functional Adoption — Partner with engineering and technology leadership to establish governance, standards, and ROI metrics for AI tool deployment
• Build Internal Expertise — Mentor co-op engineers to technologists; foster a culture of AI-driven systems thinking across teams
• Evaluate Partnerships & Vendors — Assess and recommend strategic AI/LLM vendors and platform partnerships aligned with WD's needs
What You'll Gain
• Shape how a global technology leader plans and executes long-range strategy
• Work with cutting-edge AI tools in real, high-stakes environments with significant organizational impact
• Mentor and build a community of AI-enabled technologists
• Direct visibility with CTO leadership and cross-functional executive stakeholders
• Strategic influence over technology adoption and organizational effectiveness
Required:
• 7+ years in technology leadership, systems engineering, or AI/data platform development
• Deep hands-on experience building AI agents, LLM applications, or agentic workflows in production environments
• Strong background in data architecture, data pipelines, and analytics tool development
• Proven ability to ship AI tools end-to-end and translate business problems into AI solutions
• Excellent communication skills; ability to inspire adoption across technical and non-technical audiences
• Leadership experience mentoring engineers and influencing cross-functional teams
Preferred:
• Experience with RAG systems, enterprise knowledge management, or LLM frameworks
• Background in process improvement, operational transformation, or change management
• Track record building internal developer tools or enterprise software platforms
• Exposure to technology roadmap planning, R&D strategy, or long-range product planning
• Background in storage systems or semiconductor technology
WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medic
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