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Semiconductor R D Jobs in Lynn, MA (NOW HIRING)

Actalent

Quality Test Engineer

Beverly, MA

$79K - $102K/yr

Perform failure analysis (FA) on semiconductor devices, including high-voltage, analog, mixed ... Comfort working with cross-functional teams, including quality, reliability, and R&D. * Strong ...

Actalent

Quality Test Engineer

Beverly, MA

$79K - $102K/yr

Perform failure analysis (FA) on semiconductor devices, including high-voltage, analog, mixed ... Comfort working with cross-functional teams, including quality, reliability, and R&D. * Strong ...

Orbotech

System Engineer

Westwood, MA · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Group/Division With over 40 years of semiconductor process control experience, chipmakers around ...

KLA

System Engineer

Westwood, MA · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Group/Division With over 40 years of semiconductor process control experience, chipmakers around ...

KLA Corporation

System Engineer

Westwood, MA · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Group/Division With over 40 years of semiconductor process control experience, chipmakers around ...

KLA Corporation

System Engineer

Westwood, MA · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Group/Division With over 40 years of semiconductor process control experience, chipmakers around ...

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All JobsSemiconductor R D JobsSemiconductor R D Jobs in Lynn, MA

Semiconductor R D information

See Lynn, MA salary details

$12

$22

$38

How much do semiconductor r d jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for semiconductor r d in Lynn, MA is $22.92, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $24.57 per hour, depending on experience, location, and employer.

What is the difference between Semiconductor R D vs Semiconductor Process Engineer?

AspectSemiconductor R DSemiconductor Process Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Materials Science, or related fieldsBachelor's or Master's in Chemical Engineering, Materials Science, or related fields
Work EnvironmentResearch labs, development centers, innovation-focused settingsManufacturing facilities, cleanrooms, production lines
Industry UsageDeveloping new semiconductor materials, device architectures, and prototypesOptimizing and maintaining manufacturing processes for semiconductor production
Common Search/Comparison IntentUnderstanding roles in semiconductor innovation and developmentLearning about manufacturing and process optimization roles

Semiconductor R D focuses on developing new materials and device designs in research environments, while Semiconductor Process Engineers work on implementing and improving manufacturing processes in production settings. Both roles are essential in the semiconductor industry but differ in their focus, environment, and objectives.

What cities near Lynn, MA are hiring for Semiconductor R D jobs?

Cities near Lynn, MA with the most Semiconductor R D job openings:

Semiconductor R D jobs near you
Infographic showing various Semiconductor R D job openings in Lynn, MA as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $47,673 per year, or $22.9 per hour.

Lead AI Engineer -- Semiconductor AI Innovation

Wilmington, MA • On-site

Onto Innovation
Semiconductor and Electronic Component Manufacturing • 1 - 5K employees
Learn more about Onto Innovationexternal

$112K - $147K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Onto Innovation is a leader in semiconductor technologies, and they are seeking a Lead AI Engineer to drive AI-powered solutions for semiconductor equipment operations. This hands-on leadership role involves defining AI strategies, mentoring a team, and integrating AI solutions into production environments.
Responsibilities:
• Define the AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
• Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
• Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations (via MCP servers) that help engineers accelerate tool operation/setup/maintenance and explain trade-offs, grounded in internal docs, logs, and historical inspection outcomes.
• Lead projects across diverse areas: Predictive maintenance for tool health monitoring and failure detection. Computer vision for wafer defect detection, segmentation, and classification. LLM-based engineering assistants using RAG and MCP agents to make internal knowledge more accessible. Process optimization & yield improvement through data-driven insights and parameter tuning. Simulation and digital twins to model process behaviors and accelerate R&D.
• Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
• Architect robust pipelines for data ingestion, labeling, storage, and retrieval across massive multi-modal datasets (images, telemetry, recipes, logs).
• Stand up scalable MLOps infrastructure: model registries, monitoring, evaluation, deployment, and governance.
• Hire, mentor, and manage a team of 3 engineers focused on LLM/Agents, CV/ML, and MLOps/Data.
• Work cross-functionally to integrate AI solutions into production environments safely and securely.
Qualifications:
Required:
• 5+ years applied ML/AI experience, with 3+ years in a technical leadership role.
• Hands-on expertise with at least two of the following domains: Large Language Models - RAG, fine-tuning, agent frameworks, prompt optimization; Predictive Modeling - tool failure prediction, anomaly detection, time-series analysis; Computer Vision - defect detection, segmentation, or SEM/optical imaging.
• Strong background in ML systems architecture and production deployment.
• Advanced Python proficiency: C++/CUDA familiarity is a plus.
• Experience with MLOps stacks: containers, CI/CD, Ray Serve/Triton, model registries (e.g., MLflow), and GPU optimization.
• Strong stakeholder collaboration skills and the ability to translate between engineering, operations, and leadership.
• Demonstrated success delivering AI-powered products into production.
Preferred:
• Familiarity with semiconductor manufacturing, inspection, or metrology.
• Understanding of fab interfaces and data connectivity (SECS/GEM, GEM300).
• Prior experience deploying digital twins or simulation-driven optimization.
• Knowledge of vector databases, retrieval pipelines, and hybrid search.
• Experience implementing safety, security, and IP protections for AI systems.
• Exposure to datasets or tools from KLA, ASML, Applied Materials, Onto, Nova, or similar inspection/metrology vendors.
Company:
Onto Innovation stands alone in process control with our unique perspective across the semiconductor value chain. Founded in 2019, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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