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Rescale

Cloud-based HPC platform for simulations

Software Engineer - Agentic AI Systems

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$115k - $159k /yrRemote

About the Job

Requirements

  • Three to five years of experience building and operating backend services and distributed systems in AWS, Azure, or GCP.
  • Production experience with agentic AI, retrieval-augmented generation, and evaluations, including explaining how evaluations led to changes in a shipped system.
  • Strong experience in at least one of Python, Java, or Go, with comfort working across services and APIs.
  • Experience with data-intensive systems such as object storage, relational databases, caches, and queues or streams.
  • Effective use of AI coding agents in development work, including judgment to verify their output; familiarity with new AI engineering practices and testing ideas to improve how the team builds.
  • Ability to turn an ambiguous goal into a plan with Product, make sound architectural decisions for the area, and take responsibility for work performance after launch.
  • A Bachelor of Science in Computer Science or equivalent experience.

Responsibilities

  • Build and operate LLM-backed APIs, agents, retrieval systems, and integrations with internal and external systems.
  • Develop evaluations for agent and retrieval-augmented generation workflows, then use the results to improve quality and reliability.
  • Build ingestion pipelines and high-throughput file and data paths between customer environments, cloud object storage, and compute clusters, balancing reliability, performance, and cost.
  • Work with Product and Design to turn broad goals into clear problems, practical specifications, and small releases.
  • Identify worthwhile improvements, involve the appropriate people in decisions, ship frequently, and follow through on results.
  • Work across backend services using Python, Java, or Go; cloud infrastructure using AWS, Azure, GCP, containers, and Kubernetes; and occasional user-interface changes using React and TypeScript to complete the customer experience.

About the Company

Rescale

Cloud-based HPC platform for simulations

Rescale provides a cloud-based HPC platform that lets engineers and scientists run large simulations and analyses without managing on-premises infrastructure. It operates as an HPC-as-a-service on a hybrid cloud, automating workload orchestration and integrating thousands of engineering and scientific software applications across cloud and on-premises resources. It differentiates itself through long-standing multi-cloud partnerships, deep engineering know-how from its founders, and a broad customer base across aerospace, automotive, life sciences, energy, semiconductors, and government. Its goal is to accelerate innovation by making supercomputing capabilities accessible to organizations of all sizes for faster design, testing, and AI-enabled digital R&D.

Company size
201-500
Company stage
Series D
Total funding
$299.5M
Headquarters
San Francisco, CA
Founded
2011

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