
High-Performance Computing Specialist
2 days ago
We are seeking a skilled GPU Engineer to join our team.
- As a GPU Engineer, you will be responsible for designing and implementing cutting-edge GPU-accelerated computing solutions.
- You will work closely with our research team to develop and optimize large-scale automation solutions.
- Additionally, you will maintain and build deep learning AI-HPC GPU clusters at scale and support researchers in running their flows on these clusters.
- Key responsibilities include designing and implementing state-of-the-art GPU compute clusters, optimizing cluster operations for maximum reliability, efficiency, and performance, and driving foundational improvements and automation to enhance researcher productivity.
- Other duties include troubleshooting, diagnosing, and root-causing system failures, as well as isolating components or failure scenarios while working with internal and external partners.
- Bachelor's degree in computer science, electrical engineering, or a related field, or equivalent experience.
- Proven experience in site reliability engineering for high-performance computing environments with operational experience of at least 2K GPUs cluster.
- Deep understanding of GPU computing and AI infrastructure.
- Passion for solving complex technical challenges and optimizing system performance.
- Experience with AI/HPC advanced job schedulers, such as Slurm, and familiarity with schedulers like Kubernetes and Terraform.
- Working knowledge of container technologies like Docker and Enroot.
- Programming skills in Python and Bash scripting.
- A dynamic work environment where everyone is inspired to do their best work.
- Opportunities to collaborate with talented professionals from diverse backgrounds and experiences.
- Access to the latest tools and technologies in the field of GPU computing.
- Professional growth and development opportunities.
Interested candidates should submit their application, including their resume and cover letter, through our website.
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