AWS High Performance Computing Engineer

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AI Summary

High performance computing engineer responsible for designing and implementing scalable HPC clusters on AWS. Requires expertise in cloud infrastructure and high-performance computing. The ideal candidate is a polyglot developer.

Key Highlights
Build and optimize high-performance workloads on AWS
Design and implement scalable HPC clusters
Develop and lead container orchestration efforts on AWS
Key Responsibilities
Write and optimize high-performance code in Rust, Python, and C++
Manage and scale High Performance Computing clusters
Architect and maintain resilient cloud environments using Terraform
Technical Skills Required
Rust Python C++ Terraform Kubernetes (EKS) FSx for Lustre EFS
Benefits & Perks
100% remote work

Job Description


Role: AWS High Performance Computing (HPC) Engineer - Pre-System

Location: 100% remote

Role Overview

Client is seeking an elite AWS High Performance Computing (HPC) Engineer to support a mission-critical project for Amazon. This role sits at the intersection of deep backend engineering and sophisticated cloud infrastructure. You will be responsible for building, optimizing, and scaling high-performance workloads that require low latency and massive computational power.

The ideal candidate is a "polyglot" developer who is as comfortable writing memory-safe code in Rust as they are orchestrating large-scale Kubernetes (EKS) clusters.

Key Responsibilities

  • Backend Development: Write and optimize high-performance code in Rust, Python, and C++ to handle complex computational tasks within the customer's HPC environment.
  • HPC Orchestration: Manage and scale High Performance Computing clusters, ensuring optimal resource utilization and job scheduling.
  • Infrastructure as Code (IaC): Architect and maintain resilient cloud environments using Terraform, prioritizing automated, repeatable deployments.
  • Container Strategy: Lead container orchestration efforts using Amazon EKS to manage microservices and batch processing workloads.
  • Storage Optimization: Design and implement high-throughput storage solutions utilizing FSx for Lustre and EFS to meet the rigorous I/O demands of HPC.
  • Database Design: Oversee database optimization and design to support large-scale data ingestion and processing.


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