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Mythic Ai.Com7mo ago

AI Algorithms/Software Engineer

United StatesUnited States·Palo AltoRemoteFull-timemid
Data ScienceSoftware EngineerSoftware Engineering
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Quick Summary

Overview

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost.

Technical Tools
huggingfacepytorchci-cddeep-learning
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense. We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
  • Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic’s hardware.
  • Develops advanced quantization-aware and analog-aware retraining algorithms leveraging PyTorch and ONNX.
  • Hardens networks to analog effects via advanced network regularization.
  • Models analog effects and their impact on network performance.
  • Works cross-functionally to validate and debug hardware.
  • Contributes to the co-design of next-generation hardware.
  • Brings up and customizes neural networks.
  • Optimize Mythic’s analog-aware software toolchain for network accuracy, latency, and ease-of-use.
  • Design algorithms and tools for Mythic’s neural network conversion pipeline.
  • Build high-fidelity, computationally-efficient hardware models.
  • Contribute to silicon bring-up, debugging, and validation.
  • Improve software through refactoring, testing, documentation, and other engineering best practices.
  • Stay current with advances in deep learning research and neural network frameworks.
  • Bachelor's degree in Computer Science, Mathematics, or a related field.
  • 5+ years of software experience in a production environment.
  • Experience working on complex problems with algorithm-heavy code.
  • Commitment to quality and engineering excellence.
  • Strong communication skills.
  • MS/PhD in Computer Science, Mathematics, or related field.
  • Hands-on experience with modern neural network frameworks.
  • Familiarity with state-of-the-art neural network architectures.
  • Experience training neural networks with hardware-aware techniques, including quantization, pruning, or model-size limitations.
  • Experience with MLOps practices, including model versioning, CI/CD pipelines for ML, model deployment, and monitoring.
  • Experience owning critical APIs with a large user base.
  • Contributions to open-source software.

    • Location & Eligibility

    Where is the job
    Palo Alto, United States
    Remote within one country
    Who can apply
    US
    Listed under
    United States

    Listing Details

    Posted
    October 1, 2025
    First seen
    March 26, 2026
    Last seen
    May 12, 2026

    Posting Health

    Days active
    47
    Repost count
    0
    Trust Level
    32%
    Scored at
    May 12, 2026

    Signal breakdown

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