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Code Metal

Optimizes research code for edge deployment

Senior Software Engineer - Code Transpilation

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • At least 5 years of collaborative enterprise-level software development delivering products to a large customer base.
  • At least 3 years of C/C++ experience and at least 2 years of Python experience.
  • Demonstrated experience gathering requirements from stakeholders and translating them into software designs.
  • A track record of planning and executing projects in a team-based setting.
  • Strong software delivery fundamentals, including code review, testing, continuous integration and continuous delivery, release management, and build systems.
  • Experience integrating Generative AI or large language models into software pipelines, such as prompt engineering, output validation, or AI-assisted code generation.

Responsibilities

  • Design and develop well-tested, extensible code for code translation products, with a focus on correctness and maintainability.
  • Architect and implement workflows spanning code parsing, semantic analysis, AI-assisted generation, and output validation.
  • Collaborate with domain specialists to integrate formal verification and static analysis outputs into the code generation pipeline, and to enhance C++ code generation.
  • Partner with other engineering teams to build robust code repositories, continuous integration and continuous delivery processes, and integration testing.

Desired Qualifications

  • Experience with digital signal processing algorithms and applications using Python or MATLAB.

About the Company

Code Metal

Optimizes research code for edge deployment

CodeMetal.ai provides a SaaS platform that turns research code into optimized, edge-ready low-level code. It serves academia, defense, and tech sectors in AI and machine learning. Users upload code written in Python, Julia, or MATLAB, pick target deployment chipsets, and the platform automatically optimizes the code and adapts it to chosen runtimes, iteratively improving performance. This approach differentiates CodeMetal.ai by offering multi-language support, chipset-aware optimization, and runtime adaptation within a cloud-based service, enabling users to deploy efficient code on edge devices without manual low-level tuning. The company's goal is to help clients run more efficient AI/ML workloads on edge hardware by converting high-level research code into fast, platform-optimized implementations via subscriptions and usage-based pricing.

Company size
51-200
Company stage
Series B
Total funding
$177.7M
Headquarters
Boston, MA
Founded
2023

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