We are looking for a highly skilled Lead Scientific Computing Engineer with a background in High-Performance Computing and cloud computing to support our scientific research initiatives.
The ideal candidate will have a strong background in managing and optimizing Linux-based High-Performance Computing environments, along with expertise in Amazon Web Services cloud services. This position requires collaboration with various R&D teams to provide technical support and implement improvements in our computing infrastructure. The candidate must have competency in handling both open-source and commercial software across diverse R&D disciplines.
We accept CVs in English only.

REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
• 5+ years of expertise in managing and optimizing Linux-based High-Performance Computing environments
• 1+ years of leadership experience in relevant roles
• Proficiency in Amazon Web Services cloud services such as Amazon FSx for Lustre, EC2, S3
• Understanding of cloud architecture, including networking, storage solutions, and security best practices
• Familiarity with scripting languages like Bash, Python, or Perl for automation and system administration
• Skills in containerization technologies like Docker and orchestration tools including Kubernetes
• Capability to compile, install, and maintain open-source and commercial applications
• Strong problem-solving and the flexibility to work independently and in team settings
• Effective communication skills for collaborating with researchers and technical teams

• Support in-silico activities such as installing, configuring, and optimizing Linux workstations and applications
• Deliver continuous improvements and maintenance for existing Linux environments
• Oversee and optimize Amazon Web Services cloud resources, including key services like Amazon FSx for Lustre, EC2, S3
• Work closely with research teams to address computational needs and provide customized solutions
• Enhance the security, scalability, and efficiency of cloud-based scientific workflows
• Resolve technical issues in both on-premises and cloud environments
• Compile, install, and maintain open-source and commercial software applications
• Stay informed on advancements in High-Performance Computing and cloud technologies to drive improvements