High Performance Computing (HPC) Engineer

Technology Innovation Institute (TII) is a publicly funded research institute located in Abu Dhabi, UAE, dedicated to driving innovation through advanced research and technology. The Artificial Intelligence Cross-Center Unit at TII focuses on leveraging machine learning to tackle complex challenges across various sectors, including technology, healthcare, cybersecurity, and government.

We are seeking a talented High-Performance Computing (HPC) Engineer to join our team. In this role, you will design, implement, and manage scalable, high-performance computing solutions tailored to meet complex computational needs.

Key Responsibilities:

1. Design, develop, and optimize HPC systems and applications.
2. Collaborate with software engineering teams to integrate HPC solutions into software applications.
3. Diagnose and troubleshoot complex HPC system and software issues.
4. Perform system administration tasks, including configuration, upgrades, and monitoring of HPC cluster health and performance.
5. Collaborate with sales and customer support teams to provide technical expertise for inquiries and pre-sales support.
6. Research new technologies and methods to improve system performance and efficiency.

Skills and Qualifications:

• BS/MS degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience with HPC, cluster management, and parallel computing.
• Proficiency in programming languages such as C, C++, Python, or Fortran.
• Experience with Linux/Unix environments, including scripting and system administration.
• Familiarity with MPI, OpenMP, or other parallel processing frameworks.
• Experience with job scheduling tools such as Slurm, PBS Pro, or similar.
• Strong problem-solving abilities, attention to detail, and analytical skills.
• Good communication skills and ability to collaborate in a team environment.
• Experience with cloud-based HPC solutions (AWS, GCP, Azure) is a plus.
• Experience with GPU programming (CUDA, OpenCL) or FPGA is a plus.
• Familiarity with containerization technologies such as Docker, Singularity, etc. is a plus.

If you are passionate about working with cutting-edge LLM technologies and wish to significantly impact the AI field, we invite you to apply and help us shape the future of AI!