AI Lead Engineer

Job Description

About the job

Introduction to the job

We are looking for experienced engineers who are passionate about AI and cloud technologies. Join our team as an AI Lead Engineer to develop and operationalize AI solutions for the semiconductor industry.

Job Mission

The AI Lead Engineer in the CDO AI Services team is responsible for leading the design, development, and maintenance of scalable and robust AI platform and AI solutions. You will play a pivotal role in operationalizing AI/ML workflows, optimizing infrastructure, and enabling efficient, secure, and reliable AI deployments. This role is crucial for maintaining high availability, scalability, and performance of AI services while collaborating with global teams to ensure cohesive strategy and implementation.

Roles and responsibilities

• Mentor 20+ engineers across 4 AI focused teams, lead the design, development, and maintainability through CI/CD of scalable AI/ML workloads across hybrid cloud environments
• Design and implement APIs to securely expose platform services (ex. AI models) and to integrate loosely coupled application components
• Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools like Terraform or Ansible. Implement testing of automated deployments and observability frameworks (ex. Prometheus, Grafana, or Datadog) for application functionality including monitoring, logging, and tracing
• Coach colleagues (across ASML regions, ex. US, Veldhoven) in developing solutions in line with industry best practices and socialize generalized frameworks to standardize development. Responsible for quality reviews, guiding cross sector co-development initiatives and continuous improvement.
  
  

Education and experience

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering, with a focus on AI/ML.
• Strong expertise in cloud platforms (Azure, Google Cloud, or AWS) and Kubernetes (both SDLC on Kubernetes and Kubernetes core underlying components)
• Experience with GPU-accelerated compute environments and AI-specific tools like NVIDIA Triton, Kubeflow, or MLflow.
• Strong software engineering expertise in MLOps practices and proficiency in scripting (Python, JavaScript, Bash, or equivalent).
  
  

Other information

The position is based in the CDO AI Services. The AI Lead Engineer works closely with AI Engineers, US Lead Engineer, Domain architect, and other stakeholders to ensure the successful implementation of AI solutions.

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Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.