Onto Innovation · 2 hours ago
Junior AI Engineer
Wilmington, MA
Full-time
Onsite
New Grad, Entry LevelOnto Innovation is a leader in process control and semiconductor manufacturing technologies. They are seeking a Junior AI Engineer to develop AI assistants that enhance workflows and improve efficiency in inspection and metrology tools.
3D TechnologyManufacturingSemiconductor
No H1B
U.S. Citizen Only
Responsibilities
Prototype AI assistants & agents for field workflows: guided recipe setup, log triage, playbook lookups, parts/alarms advice, and fleet-wide health checks
Build retrieval systems (RAG): ingest manuals, specs, ticket notes, recipes, logs, and best-practice docs; design chunking, embeddings, and indexing; tune prompts and retrieval for accuracy/latency
Connect AI to our tools and data: stand up MCP servers (Model Context Protocol) and other connectors to safely expose internal systems (document stores, MES, issue trackers, telemetry APIs) to LLMs
Fine-tune or adapt models (e.g., LoRA/QLoRA) for domain terms, error codes, and tool-specific intents when retrieval alone isn’t enough
Evaluate and harden: set up offline & online evals for groundedness/relevance; add guardrails, observability, and traceability; write runbooks
Ship small apps: package prototypes behind simple APIs or lightweight UIs that field engineers can use (web chat, Slack/Teams bots, or CLI)
Data plumbing: parse messy PDFs/images/CSVs; normalize schemas for recipes, events, alarms, SPC/trace data
Computer Vision – understanding, defect detection, segmentation, or SEM/optical imaging
Work like an engineer: write readable Python/TypeScript, tests, and docs; use Git; participate in code reviews; iterate fast with the AI lead and domain SMEs
Qualification
Required
BS in CS/EE/CE/ME (or equivalent experience)
Python proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git
Built at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel
Hands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics
Familiarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations
Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker
Comfortable reading technical manuals/logs and collaborating with non-software teammates
Preferred
Worked with agent frameworks (LangGraph, AutoGen, CrewAI) or implemented tool-calling/plan-execute loops
Built or configured MCP servers to connect LLMs to internal data/tools
Experience parsing complex docs (e.g., Unstructured, GROBID) and handling images/figures from manuals
Exposure to semiconductor equipment or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with KLA/AMAT/TEL/ASML tool ecosystems
Time-series and log analysis (Pandas, SQL, TimescaleDB/InfluxDB), wafer map/vision background, or simple CV
Model adaptation experience (LoRA/QLoRA, PEFT) and experiment tracking (MLflow/W&B)
LLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access
Cloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools
Prior work on fleet-level dashboards/analytics or recipe/parameter management
Benefits
Health/dental/vision/life/disability
PTO
401K plan with employer match
Employee Stock Purchase Program (ESPP)
Health & wellness initiatives
Company
Onto Innovation
Onto Innovation stands alone in process control with our unique perspective across the semiconductor value chain.
Founded in 2019
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1999-11-12IPO
Leadership Team
Chris Seams
Chairman Of The Board
Recent News
2026-01-16
2026-01-06
2025-12-22
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