Staff HPC Engineer

1 month ago

Cambridge, Cambridgeshire, United Kingdom Altos Labs Full time
Job Title: Staff Scientific HPC Engineer

Altos Labs is seeking a highly skilled Staff Scientific HPC Engineer to join our team. As a key member of our Scalable Modeling team, you will be responsible for designing, implementing, and managing high-performance computing systems, with a focus on GPU-accelerated computation and high-performance storage.

Responsibilities:
  • Design and implement high-performance computing systems infrastructure, focusing on GPU compute capabilities
  • Configure and maintain high-performance networking and storage infrastructure to support low latency, high throughput distributed computation
  • Collaborate with ML research and engineering teams to understand and meet their accelerated computation needs
  • Monitor system performance, troubleshoot and address issues to ensure high availability and optimal performance
  • Develop and maintain system documentation, including hardware/software configurations, troubleshooting guides, and operational procedures
  • Conduct training sessions or workshops to educate users on the proper use of scientific computation infrastructure
Requirements:
  • Bachelor's degree in computer science, Information Technology, or a related quantitative field
  • Relevant experience in HPC
  • Extensive experience building and optimizing high-performance computing systems
  • Experience with networking and interconnect architectures commonly found in distributed systems
  • Experience managing high-performance storage systems
  • Knowledge of HPC system tools and software stacks
Preferred Skills:
  • Strong understanding of modern GPU architectures and programming frameworks
  • Experience working with NVIDIA Data Center-class GPUs
  • Experience with deep learning frameworks

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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