Code Metal

Code Metal builds verifiable code translation software for mission-critical industries. Its platform translates code across languages and hardware architectures, then verifies correctness, compliance, and performance for use cases like edge development, code portability, and code modernization.

Software Development
51-200
Founded 2023
$178M raised

Description

  • Integrate novel code-generation pipelines that combine Generative AI and static analysis on secure customer platforms.
  • Deploy and manage containerized services (Docker) for the translation and inference pipelines.
  • Deploy and run Python-based GenAI pipelines that interact with locally deployed large language models (LLMs).
  • Deploy large language models and inference endpoints within secure networks.
  • Travel to customer locations for on-prem hands-on deployment, configuration, and diagnostics as needed.
  • Diagnose issues locally during deployments and gather necessary data for resolution.
  • Create concise summaries and reports of on-site issues to share with the engineering team for remote debugging and follow-up.
  • Enable and support customers in using the translation pipeline for code-generation workflows (e.g., translating C++ to Rust).

Requirements

  • Active or activable security clearance eligible to work on government projects.
  • Demonstrated experience setting up Python applications in secure environments.
  • Demonstrated experience deploying containerized solutions in secure environments.
  • Experience building AI-based solutions for customers, including integrating models into production workflows.
  • Experience setting up AI models and inference endpoints in secure or isolated networks.
  • Willingness and ability to travel to customer sites for on-prem deployments and diagnostics.
  • Experience integrating Generative AI with static-analysis techniques for code translation (preferred).
  • Familiarity with Python packages for logging and diagnostics (preferred).
  • Experience working with cloud-based distributed systems (AWS, GCP, or Azure) (preferred).

Interested in this position?

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