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Senior Software Development Engineer – AI

Job in San Diego, San Diego County, California, 92189, USA
Listing for: ASML USA
Full Time position
Listed on 2025-12-27
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below

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, which enable our customers – the world’s leading chip makers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.

Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

We have an exciting opportunity for a Senior Software Development Engineer (AI) to join our team in San Diego. In this role you will leverage AI and GenAI agentic solutions to optimize and modernize existing and legacy software development processes, including CI/CD pipelines and SDLC workflows. This role requires strong technical expertise in AI-driven automation, cloud platforms, and software engineering, combined with excellent communication and leadership skills to influence stakeholders and drive transformation.

Role

and 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 Dev Ops 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 Dev Ops strategies to non-technical stakeholders and senior management, driving adoption and best practices.
  • Continuous Innovation:
    Stay updated on AI, GenAI, and Dev Ops 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 Dev Ops; 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, Google Cloud Platform) and infrastructure automation.
  • Familiarity with GenAI frameworks (Lang Chain, Llama Index) 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 (Lang Chain, Llama Index) 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.

Dev Ops & SDLC Modernization:

  • Strong understanding of software development methodologies (Agile, Spiral, Waterfall, Lean).
  • Expertise in CI/CD tools (Git Hub Actions, Bitbuckt, Jenkins, Azure Dev Ops) 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…
Position Requirements
10+ Years work experience
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