Sr. Manager of AI Engineering: Agentic Knowledge Store - San Jose, United States
Originally posted 30 July 2026 by the employer.
Leading an engineering team building an AI knowledge store using ontology-based ingestion, multiple latent spaces, and multi-modal retrieval.
About the role
The Sr. Manager of AI Engineering: Agentic Knowledge Store leads an engineering team delivering an AI knowledge store to support the autonomous fab. This role oversees research and prototype development using ontology-based ingestion, multiple latent spaces, multi-modal ingestion and retrieval, anti-hallucination techniques, and advanced provenance strategies.
What you'll do
- Lead end-to-end delivery of AI programs across research, model development, evaluation, and prototype development encompassing machine learning, large language models, and related techniques. - Lead, grow, and manage a team of AI engineers, research scientists, and software engineers, including hiring, performance reviews, and technical direction. - Partner with process, equipment, field-service, and IT organizations to source domain data, engage subject-matter experts, and validate results against engineering problems. - Coordinate with headquarters and business units on requirements, data-sharing, confidentiality constraints, and deployment. - Establish engineering standards and evaluation governance, including metrics, test strategy, regression, experiment tracking, data quality, and provenance practices. - Support intellectual-property development through invention disclosures, prior-art review, and collaboration with patent counsel.
What you'll need
- 7+ years of relevant engineering experience in areas such as computer science/AI research, software engineering, machine learning, scheduling and planning, or knowledge representation. - 4+ years of experience with complex hardware + software systems. - 2+ years of small-group direct people management experience. - Expertise in techniques for semantic capture, search, and embedding spaces. - PhD or MSc in Computer Science or adjacent areas, or BSc with 10+ years of AI/ML/Comp Sci research experience. - Willingness and ability to travel overseas to east Asia 3-5 times per year and collaborate with colleagues in east Asia during some evenings.
Skills: AI research, autonomy, knowledge capture, semiconductor equipment, embedded control, machine learning
This role has been open 160 days — well above the 90-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
502
|
Median days open
90 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Tokyo Electron | All employers we track in this specialty (502 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 502 |
| Open roles in the wider Software, Firmware & Systems family | 1 | 6392 · 148 employers |
| Median days open | 160 d | 90 d (+70 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI research, autonomy, knowledge capture, semiconductor equipment, embedded control, machine learning
Who's hiring in this category
- Qualcomm · 99 open roles · median 119 d
- NVIDIA · 87 open roles · median 61 d
- AMD · 32 open roles · median 111 d
- Micron Technology · 27 open roles · median 63 d
- Mobileye · 20 open roles · median 89 d
- Analog Devices · 18 open roles · median 46 d
How we counted: 502 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 28 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.