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:
- Design, develop, and optimize HPC systems and applications.
- Collaborate with software engineering teams to integrate HPC solutions into software applications.
- Diagnose and troubleshoot complex HPC system and software issues.
- Perform system administration tasks, including configuration, upgrades, and monitoring of HPC cluster health and performance.
- Collaborate with sales and customer support teams to provide technical expertise for inquiries and pre-sales support.
- 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!
