ASML
Senior Software Development Engineer - AI
Join ASML to apply for the
Senior Software Development Engineer – AI
role. ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy‑efficient microchips. We design, develop, integrate, market and service these advanced machines, enabling our customers – the world’s leading chipmakers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.
Base Pay Range $144,000.00/yr – $240,000.00/yr
Role & Responsibilities
AI‑Driven Process Optimization: Apply AI and GenAI techniques to improve software CI/CD pipelines, code quality checks, automated testing, and deployment processes.
SDLC Modernization: Integrate AI solutions into legacy and modern SDLC workflows to enhance efficiency, reduce manual effort, and improve reliability.
Agentic AI Solutions: Design and deploy GenAI‑based agents for tasks such as code review, documentation generation, and intelligent troubleshooting.
Cloud Integration: Implement AI‑powered DevOps solutions on Azure and Google Cloud Platform, leveraging cloud‑native services for scalability and automation.
Stakeholder Communication: Collaborate with IT teams, software engineers, and business stakeholders to align AI‑driven improvements with organizational goals.
Leadership & Influence: Explain complex AI concepts and DevOps strategies to non‑technical stakeholders and senior management, driving adoption and best practices.
Continuous Innovation: Stay updated on AI, GenAI, and DevOps trends; propose innovative solutions to improve operational efficiency and software delivery.
Perform other duties as assigned or required.
Education and Experience
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
10+ years industry experience in software development and DevOps; 5+ years applying AI/ML solutions in enterprise environments.
Strong background in SDLC methodologies and experience modernizing legacy systems.
Proven experience with cloud platforms (Azure, GCP) and infrastructure automation.
Familiarity with GenAI frameworks (LangChain, LlamaIndex) and agentic AI solutions.
Excellent communication and leadership skills to influence cross‑functional teams.
Skills
AI & GenAI Expertise:
Applied AI and GenAI solutions for software development lifecycle (SDLC) and CI/CD optimization.
Experience with agentic AI frameworks (LangChain, LlamaIndex) and prompt engineering for automation tasks.
Knowledge of RAG (Retrieval‑Augmented Generation), LoRA fine‑tuning, and foundational model lifecycle management.
Proficient in LLM architectures (GPT, Claude, LLaMA, Mistral) and inference optimization techniques.
DevOps & SDLC Modernization:
Strong understanding of software development methodologies (Agile, Spiral, Waterfall, Lean).
Expertise in CI/CD tools (GitHub Actions, Bitbucket, Jenkins, Azure DevOps) and integration of AI‑driven automation into pipelines.
Experience in legacy system modernization using AI‑based code analysis, documentation generation, and intelligent troubleshooting.
Cloud Platforms & Infrastructure:
Advanced experience with Azure (VM, AKS, Functions, ACR) and Google Cloud Platform (Compute Engine, GKE, Cloud Storage).
Skilled in containerization and orchestration (Docker, Kubernetes) and infrastructure‑as‑code (Terraform, Helm).
Programming & Development:
Proficient in Python, Shell scripting, SQL, and experience with C++ and R for legacy systems.
Familiarity with web frameworks (FastAPI, Flask) and deployment tools (Nginx, Gunicorn, Uvicorn).
AI/ML Frameworks & Libraries:
Hands‑on with Transformers, Hugging Face, Scikit‑learn, TensorFlow, PyTorch and NLP libraries (spaCy, NLTK, BERT).
Experience with MLflow, Kubeflow and MLOps best practices for AI‑driven DevOps workflows.
Data & Observability:
Skilled in data processing and visualization using Pandas, NumPy, Spark, Matplotlib, and SciPy.
Monitoring and observability tools: Datadog, Prometheus, Grafana for AI‑enabled DevOps environments.
Version Control & Collaboration:
Git, GitHub, DVC (Data Version Control), JIRA for agile project management and code lifecycle tracking.
Operating Systems:
Windows, Linux, macOS for multi‑environment development and deployment.
Other Information – Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Typical duties include routine sitting, walking, talking, hearing, using hands to operate a keyboard and other controls, stooping, kneeling, crouching, twisting, reaching and stretching. The employee occasionally may move around the campus and lift or move up to 20 pounds. May require travel dependent on business needs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Can work under deadlines.
Compensation & Benefits In addition to the base salary range, ASML offers employees and their families medical, dental, vision, and basic life insurance. Employees can participate in the company’s 401(k) plan, receive eight (8) hours of vacation leave every month and 13 paid holidays throughout the calendar year. For more information, please contact the recruiter or click on the Compensation & Benefits link (US).
Controlled Technology Access This position requires access to controlled technology, as defined in the U.S. Export Administration Regulations (15 C.F.R. 730 et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work.
Inclusion and Diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Request an Accommodation ASML provides reasonable accommodations to applicants and employees with disabilities. If you need an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre‑selection process, please send an email to
USHR_Accommodation@asml.com
to initiate the company's reasonable accommodation process.
Equity, Diversity, and EEO Statement EOE AA M/F/Veteran/Disability.
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Senior Software Development Engineer – AI
role. ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy‑efficient microchips. We design, develop, integrate, market and service these advanced machines, enabling our customers – the world’s leading chipmakers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.
Base Pay Range $144,000.00/yr – $240,000.00/yr
Role & Responsibilities
AI‑Driven Process Optimization: Apply AI and GenAI techniques to improve software CI/CD pipelines, code quality checks, automated testing, and deployment processes.
SDLC Modernization: Integrate AI solutions into legacy and modern SDLC workflows to enhance efficiency, reduce manual effort, and improve reliability.
Agentic AI Solutions: Design and deploy GenAI‑based agents for tasks such as code review, documentation generation, and intelligent troubleshooting.
Cloud Integration: Implement AI‑powered DevOps solutions on Azure and Google Cloud Platform, leveraging cloud‑native services for scalability and automation.
Stakeholder Communication: Collaborate with IT teams, software engineers, and business stakeholders to align AI‑driven improvements with organizational goals.
Leadership & Influence: Explain complex AI concepts and DevOps strategies to non‑technical stakeholders and senior management, driving adoption and best practices.
Continuous Innovation: Stay updated on AI, GenAI, and DevOps trends; propose innovative solutions to improve operational efficiency and software delivery.
Perform other duties as assigned or required.
Education and Experience
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
10+ years industry experience in software development and DevOps; 5+ years applying AI/ML solutions in enterprise environments.
Strong background in SDLC methodologies and experience modernizing legacy systems.
Proven experience with cloud platforms (Azure, GCP) and infrastructure automation.
Familiarity with GenAI frameworks (LangChain, LlamaIndex) and agentic AI solutions.
Excellent communication and leadership skills to influence cross‑functional teams.
Skills
AI & GenAI Expertise:
Applied AI and GenAI solutions for software development lifecycle (SDLC) and CI/CD optimization.
Experience with agentic AI frameworks (LangChain, LlamaIndex) and prompt engineering for automation tasks.
Knowledge of RAG (Retrieval‑Augmented Generation), LoRA fine‑tuning, and foundational model lifecycle management.
Proficient in LLM architectures (GPT, Claude, LLaMA, Mistral) and inference optimization techniques.
DevOps & SDLC Modernization:
Strong understanding of software development methodologies (Agile, Spiral, Waterfall, Lean).
Expertise in CI/CD tools (GitHub Actions, Bitbucket, Jenkins, Azure DevOps) and integration of AI‑driven automation into pipelines.
Experience in legacy system modernization using AI‑based code analysis, documentation generation, and intelligent troubleshooting.
Cloud Platforms & Infrastructure:
Advanced experience with Azure (VM, AKS, Functions, ACR) and Google Cloud Platform (Compute Engine, GKE, Cloud Storage).
Skilled in containerization and orchestration (Docker, Kubernetes) and infrastructure‑as‑code (Terraform, Helm).
Programming & Development:
Proficient in Python, Shell scripting, SQL, and experience with C++ and R for legacy systems.
Familiarity with web frameworks (FastAPI, Flask) and deployment tools (Nginx, Gunicorn, Uvicorn).
AI/ML Frameworks & Libraries:
Hands‑on with Transformers, Hugging Face, Scikit‑learn, TensorFlow, PyTorch and NLP libraries (spaCy, NLTK, BERT).
Experience with MLflow, Kubeflow and MLOps best practices for AI‑driven DevOps workflows.
Data & Observability:
Skilled in data processing and visualization using Pandas, NumPy, Spark, Matplotlib, and SciPy.
Monitoring and observability tools: Datadog, Prometheus, Grafana for AI‑enabled DevOps environments.
Version Control & Collaboration:
Git, GitHub, DVC (Data Version Control), JIRA for agile project management and code lifecycle tracking.
Operating Systems:
Windows, Linux, macOS for multi‑environment development and deployment.
Other Information – Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Typical duties include routine sitting, walking, talking, hearing, using hands to operate a keyboard and other controls, stooping, kneeling, crouching, twisting, reaching and stretching. The employee occasionally may move around the campus and lift or move up to 20 pounds. May require travel dependent on business needs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Can work under deadlines.
Compensation & Benefits In addition to the base salary range, ASML offers employees and their families medical, dental, vision, and basic life insurance. Employees can participate in the company’s 401(k) plan, receive eight (8) hours of vacation leave every month and 13 paid holidays throughout the calendar year. For more information, please contact the recruiter or click on the Compensation & Benefits link (US).
Controlled Technology Access This position requires access to controlled technology, as defined in the U.S. Export Administration Regulations (15 C.F.R. 730 et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work.
Inclusion and Diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Request an Accommodation ASML provides reasonable accommodations to applicants and employees with disabilities. If you need an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre‑selection process, please send an email to
USHR_Accommodation@asml.com
to initiate the company's reasonable accommodation process.
Equity, Diversity, and EEO Statement EOE AA M/F/Veteran/Disability.
#J-18808-Ljbffr