Distinguished Member of Technical Staff - ITP AI
$255,000 - $447,000 USD yearly
Originally posted 10 November 2026 by the employer.
About the role
The Distinguished Member of Technical Staff (DMTS) for ITP AI serves as a senior technical architect responsible for the ITP AI strategy, architecture, and solutions across technology innovation, silicon design, product development, and engineering execution.
What you'll do
- Shape and drive the long-term AI vision and technology roadmap across Innovation, Technology and Products (ITP).
- Lead AI research initiatives spanning GenAI, agentic AI, machine learning, scientific AI, semiconductor-focused AI, and advanced reasoning systems.
- Champion and guide the application of AI to engineering productivity, semiconductor design, product development, manufacturing, and business operations.
- Advise executive ITP leadership on AI strategy, platform investments, technology risks, and emerging technical opportunities.
- Drive quarter-over-quarter execution against technical objectives across organizational boundaries.
- Mentor senior technical staff, principal engineers, and architects while building the technical community.
What you'll need
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Applied Mathematics, or related field.
- 15+ years of experience in advanced AI research, AI platform development, machine learning, semiconductor, or related technical domains.
- Deep expertise in multiple AI disciplines, including Generative AI, agentic AI, machine learning, deep learning, LLMs, AI infrastructure, scientific AI, reinforcement learning, and AI safety and governance.
- Demonstrated record of industry-recognized technical innovation, impact, and leading large-scale technical initiatives.
- Proven ability to drive technical outcomes across organizational boundaries without direct authority.
Nice to have
- Expertise in AI with a record of publications, patents, open-source contributions, or industry recognition.
- Experience applying AI within semiconductor technology, EDA, manufacturing, product development, scientific computing, or high-performance computing environments.
- Demonstrated success creating and scaling enterprise AI platforms and capabilities.
- Experience leading AI transformation efforts within global organizations.
- History of mentoring senior technical talent and developing technical leaders, with distinguished engineer experience or equivalent technical leadership accomplishments.
Skills: GenAI, machine learning, semiconductor AI, architecture, EDA
More semiconductor jobs: Micron Technology jobs · AI chip design jobs · San Jose jobs
First seen in our index 0 days ago, well below the 106-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
476
|
Median days since first seen
106 d
|
Category median salary (all employers)
$238k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (476 roles · 74 employers) |
|---|---|---|
| Open roles in this specialty | 14 | 476 |
| Open roles in the wider Software, Firmware & Systems family | 233 | 6601 · 156 employers |
| Median days since first seen | 62 d | 106 d (+44 d vs this employer) |
| Median salary (USD postings) | n/a | $238k |
Skills observed across this category: GenAI, machine learning, semiconductor AI, architecture, EDA
Who's hiring in this category
- NVIDIA · 107 open roles · median 84 d
- Qualcomm · 94 open roles · median 131 d
- AMD · 29 open roles · median 124 d
- Mobileye · 16 open roles · median 99 d
- Analog Devices · 15 open roles · median 59 d
- Micron Technology (this employer) · 14 open roles · median 71 d
How we counted: 476 open AI/ML Hardware Engineering (AI ML Hardware) roles from 74 employers tracked in the SemiconductorJobs index, counted 10 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.