Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI) - PUNE 05, India
Originally posted 28 September 2026 by the employer.
About the role
This role focuses on making simulation products AI-accessible by defining ontology schemas and building knowledge graphs, wrapping them as structured interfaces for AI agents to discover and invoke.
What you'll do
- Define and maintain ontology schemas describing product capabilities, entities, and relationships.
- Build and maintain knowledge graphs over product documentation, APIs, and simulation data.
- Build structured tool interfaces exposing product capabilities to AI systems.
- Write connectors to product APIs, parsers, and data access layers.
- Implement retrieval and context layers over product knowledge.
- Work with domain engineers to translate simulation workflows into discrete, callable operations.
What you'll need
- Strong Python; experience building and consuming REST APIs.
- Familiarity with graph databases and/or ontology/semantic modeling (RDF, OWL, property graphs, or equivalent).
- Experience with at least one agent framework (LangChain, LangGraph, AutoGen, CrewAI, or similar).
- Understanding of how LLMs consume context and call tools.
- Comfortable working within unfamiliar or undocumented codebases.
- Ability to decompose a complex legacy workflow into discrete, callable steps.
Nice to have
- Vector databases.
- Agent-tool interface development.
- Parsing structured file formats.
- Exposure to CAE/FEA/CFD, surrogate modeling, or physical AI.
Skills: ontologies, knowledge graphs, agentic AI, AI systems, LLMs, Python, REST APIs
This role has been open 29 days — well below the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cadence Design Systems | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 133 | 6268 · 146 employers |
| Median days open | 25 d | 89 d (−64 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: ontologies, knowledge graphs, agentic AI, AI systems, LLMs, Python
Who's hiring in this category
- Qualcomm · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 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.