High Performance Computing (HPC) Engineer

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

Artificial Intelligence Cross-Center Unit

The Artificial Intelligence Cross-Center Unit is the machine learning powerhouse of TII, working in close collaboration with our other research centers to harness the full benefits of AI across our projects – and drive innovation from new computing paradigms, designing and delivering new AI methodologies, technologies, solutions, and systems that address challenging issues across multiple sectors of the economy – from technology to healthcare, cybersecurity, and government, among others.

We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.

Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

We're looking for a talented High-Performance Computing (HPC) Engineer to join our growing team and help us push the boundaries of computational technology. As an HPC Engineer, you'll design, implement, and manage scalable, high-performance computing solutions to meet our clients' complex computational needs.

Key Responsibilities:

1. Design, develop, and optimize HPC systems and applications.

2. Collaborate with our software engineering team to integrate HPC solutions into software applications.

3. Diagnose and troubleshoot complex HPC systems and software issues.

4. Perform system administration tasks including system configuration, system upgrades, and monitoring of HPC cluster health and performance.

5. Collaborate with our sales and customer support teams to provide technical expertise for customer inquiries and for pre-sales engineering support.

6. Research new technologies and methods for improving 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 environment, 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 excellent analytical skills.

· Good communication skills and ability to work collaboratively 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're excited about working on cutting-edge LLM technologies and want to make a significant impact on the AI field, apply today and help us shape the future of AI!