Senior HPC Architect

An industry leader in the chip space is seeking a highly skilled HPC Queue Architect to design, implement, and optimize our high-performance computing (HPC) queuing systems. The ideal candidate will have a deep understanding of HPC architecture and workload management, and will play a critical role in ensuring efficient resource allocation and job scheduling across our HPC infrastructure.

Key Responsibilities:

• Queue Management:

  • Design and implement queuing systems for optimal workload management and resource allocation.
  • Monitor and analyze queue performance, identifying bottlenecks and proposing improvements.

• System Architecture:

  • Collaborate with HPC engineers to develop and maintain the overall architecture of the HPC environment.
  • Ensure that the queuing system integrates seamlessly with HPC resources, storage, and networking components.

• Job Scheduling:

  • Develop and manage job scheduling policies to optimize resource utilization and minimize job wait times.
  • Implement and configure scheduling software (e.g., Slurm, PBS, Torque) to meet the needs of diverse workloads.

• Performance Tuning:

  • Conduct performance analysis and benchmarking of queuing systems and HPC resources.
  • Provide recommendations for hardware and software upgrades to enhance system performance.

• Collaboration and Support:

  • Work closely with researchers and users to understand their HPC needs and provide support for job submissions and troubleshooting.
  • Develop and maintain documentation for queuing systems and job scheduling processes.

Qualifications:

• Education:

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Experience:

  • 3+ years of experience in HPC architecture, job scheduling, and workload management.
  • Hands-on experience with queuing systems and job schedulers in HPC environments.

• Skills:

  • Strong understanding of HPC hardware, networking, and storage technologies.
  • Proficiency in scripting languages (e.g., Python, Bash) for automation and performance analysis.
  • Familiarity with cluster management tools and performance monitoring software.

• Certifications:

  • Relevant certifications in HPC or cloud computing are a plus.

Personal Attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Detail-oriented with a focus on optimizing performance and user experience.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and continuing education.
• A collaborative and innovative work environment.