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Semiconductor Lithography Engineer Jobs (NOW HIRING)

Fujifilm

Product Engineer

North Kingstown, RI · On-site

The Role The Product Engineer will develop and support new and existing business within the ... Minimum 3-5 years of experience in lithography, photoresist materials, semiconductor materials ...

Fujifilm

Product Engineer

North Kingstown, RI · On-site

The Role The Product Engineer will develop and support new and existing business within the ... Minimum 3-5 years of experience in lithography, photoresist materials, semiconductor materials ...

NY Creates

Metrology Engineer

Albany, NY

osition Summary, Metrology Engineer NY Creates is seeking a highly skilled Semiconductor Metrology Engineer specializing in High-NA EUV lithography to support next-generation semiconductor technology ...

Texas Instruments

DFM RET Engineer

Dallas, TX · On-site

D. in Electrical Engineering, Physics, Materials Science, or related field * 5+ years of hands-on OPC and DFM experience in the semiconductor industry * Strong understanding of optical lithography ...

Fujifilm

Product Engineer

North Kingstown, RI

The Role The Product Engineer will develop and support new and existing business within the ... Minimum 3-5 years of experience in lithography, photoresist materials, semiconductor materials ...

Syntiant

MEMS Engineer

Itasca, IL · On-site

$85K - $110K/yr

We are seeking a MEMS Engineer to join our MEMS development group. Strong preference will be given ... Knowledge of semiconductor lithography and fabrication tools and processes is a plus. * MEMS ...

Syntiant

MEMS Engineer

Itasca, IL · On-site

$85K - $110K/yr

We are seeking a MEMS Engineer to join our MEMS development group. Strong preference will be given ... Knowledge of semiconductor lithography and fabrication tools and processes is a plus. * MEMS ...

Syntiant

MEMS Engineer

Itasca, IL

$85K - $110K/yr

We are seeking a MEMS Engineer to join our MEMS development group. Strong preference will be given ... Knowledge of semiconductor lithography and fabrication tools and processes is a plus. * MEMS ...

NY CREATES

Metrology Engineer

Albany, NY

$110K - $120K/yr

Position Summary, Metrology Engineer NY Creates is seeking a highly skilled Semiconductor Metrology Engineer specializing in High-NA EUV lithography to support next-generation semiconductor ...

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All JobsSemiconductor Lithography Engineer Jobs

Semiconductor Lithography Engineer information

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$38K

$115.9K

$191.5K

How much do semiconductor lithography engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for semiconductor lithography engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are some common challenges Semiconductor Lithography Engineers face when working with cutting-edge process nodes?

Semiconductor Lithography Engineers working on advanced process nodes often encounter challenges such as maintaining precise pattern resolution, managing overlay accuracy, and addressing issues related to photoresist materials. As device dimensions shrink, even minor variations in equipment calibration or environmental conditions can significantly impact yield. Engineers must also collaborate closely with process integration, metrology, and equipment teams to troubleshoot defects and implement process improvements efficiently.

What does a Semiconductor Lithography Engineer do?

A Semiconductor Lithography Engineer is responsible for developing and optimizing the photolithography process used in semiconductor manufacturing. This involves designing and implementing techniques to transfer circuit patterns onto silicon wafers with high precision, using light and specialized chemicals. They work with advanced equipment such as steppers and scanners, troubleshoot process issues, and collaborate with cross-functional teams to improve yield and device performance. Their role is crucial in producing smaller, faster, and more efficient microchips that power modern electronics.

What is the difference between Semiconductor Lithography Engineer vs Process Engineer?

AspectSemiconductor Lithography EngineerProcess Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Materials Science, or related fields; knowledge of lithography equipmentBachelor's or Master's in Chemical, Mechanical, or Industrial Engineering; broad process knowledge
Work EnvironmentCleanroom environments focused on photolithography processesManufacturing floors overseeing various production processes
Industry UsagePrimarily in semiconductor fabrication facilitiesUsed across multiple manufacturing sectors, including semiconductors

While both roles are vital in semiconductor manufacturing, a Semiconductor Lithography Engineer specializes in photolithography processes, focusing on patterning silicon wafers. In contrast, a Process Engineer oversees broader manufacturing processes, ensuring overall production efficiency. The roles often overlap but differ mainly in scope and specific technical focus.

What are the key skills and qualifications needed to thrive as a Semiconductor Lithography Engineer, and why are they important?

To thrive as a Semiconductor Lithography Engineer, a strong background in physics, electrical engineering, or materials science is essential, often supported by a relevant bachelor's or master's degree. Familiarity with photolithography equipment, cleanroom protocols, and design software such as CAD, as well as certifications in semiconductor processing, are typically required. Attention to detail, problem-solving skills, and effective teamwork are critical soft skills that set top performers apart. These competencies ensure precise patterning, high yield, and innovation in semiconductor manufacturing processes.
What states have the most Semiconductor Lithography Engineer jobs? States with the most job openings for Semiconductor Lithography Engineer jobs include:
Semiconductor Lithography Engineer jobs near you
Infographic showing various Semiconductor Lithography Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 93% Full Time, 2% Temporary, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Lead AI Engineer - Semiconductor AI Innovation

Lead AI Engineer - Semiconductor AI Innovation

Onto

Wilmington, MA • On-site

$112K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient.
Job Summary & Responsibilities
Lead AI Engineer - Semiconductor AI Innovation
Driving AI-Powered Solutions for Semiconductor Equipment Operations
Location: Wilmington, MA (On-site)
Team: AI & Advanced Analytics
Reports to: Senior Director, Engineering
Direct Reports: Will hire and lead a team of 3 AI/ML engineers
About Us
Onto Innovation is a worldwide leader in the design, development, manufacture and support of defect inspection, advanced packaging lithography, process control metrology, and data analysis systems and software used by semiconductor device manufacturers worldwide. Onto Innovation provides a full-fab solution through its families of proprietary products that provide critical yield-enhancing information and real time process control responses, enabling microelectronic device manufacturers to drive down the costs and time to market of their products. The Company's expanding portfolio of equipment and software solutions is used in both the wafer processing and final manufacturing of ICs, and in adjacent markets such as FPD, and LED manufacturing.
We design and manufacture advanced semiconductor inspection and metrology tools. Our solutions power innovation for the world's leading chipmakers. As the industry moves faster than ever, we believe AI will be a key enabler of smarter, faster, and more reliable decision-making in semiconductor manufacturing.
We're building a new AI Innovation Team to explore, develop, and deploy cutting-edge machine learning systems across our product and process ecosystem. You'll be our founding Lead AI Engineer, responsible for setting the vision, building the team, and delivering impactful AI solutions at scale.
About the Role
This is a hands-on technical leadership role. You will work closely with senior tool designers, process engineers, and applications teams to understand complex workflows and data flows. You'll architect, prototype, and productionize AI solutions that accelerate innovation, improve yields, and reduce tool downtime. You will also grow and mentor a team of three engineers specializing in LLMs, computer vision, predictive modeling, and MLOps.
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.

Minimum Qualifications
  • 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.

Nice-to-Haves
  • 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.

What Success Looks Like
  • 90 days: Map high-value AI opportunities, propose architecture, and deliver a prioritized roadmap.
  • 6 months: Deliver first production pilot (e.g., predictive tool health, RAG assistant, or wafer defect CV model) and hire first two engineers.
  • 12 months: Multiple AI-powered systems integrated into engineering workflows, delivering measurable impact on yield, efficiency, and downtime.

Our Tech Stack
  • LLMs & Agents: OpenAI, Anthropic, HuggingFace, MCP-based connectors, LangChain, LlamaIndex
  • Predictive Models: PyTorch, TensorFlow, Scikit-learn, XGBoost, Time-series ML
  • Computer Vision: PyTorch, OpenCV, Kornia, segmentation/detection architectures
  • Data & Serving: Triton, Ray Serve, MLflow, Kubernetes, Kafka, vector DBs, GPU compute clusters

Why Join Us
  • Build foundational AI infrastructure in one of the most data-rich industries in the world.
  • Lead the team shaping the future of AI-assisted semiconductor engineering.
  • Tackle multi-modal AI challenges at scale-from LLMs to predictive analytics to advanced vision systems.
  • Collaborate with world-class engineers pushing the limits of nanometer-scale inspection and manufacturing.

Qualifications
see above
Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives. We provide a collaborative working environment along with resources, and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions.
Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
For positions requiring access to technical data, Onto Innovation Inc., Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
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About ONTO

Sourced by ZipRecruiter

Industry

Specialized design services

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2021

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