AI算法/软件工程师
AI Algorithms/Software Engineer
Mythic 正在利用突破性的模拟技术打造人工智能计算的未来，该技术在相同功耗和成本下，性能是传统数字系统的 100 倍。这使得更大、更强大的模型和更快、更响应的应用成为可能——无论是在边缘设备如无人机、机器人和传感器中，还是在云和数据中心环境中。我们的技术支持从大型语言模型和 CNN 到高级信号处理的各种应用，并设计为可在 –40 °C 至 +125 °C 范围内运行，非常适合工业、汽车、航空航天和国防领域。我们已从包括 Softbank、Threshold Ventures、Lux Capital 和 DCVC 在内的世界级投资者处筹集了超过 1 亿美元，并在多个市场获得了数百万美元的客户合同。
AI 工程团队
- 构建软件流程，将神经网络（如 Hugging Face、Ultralytics 或自定义模型）适配到 Mythic 的硬件上。
- 开发基于 PyTorch 和 ONNX 的高级量化感知和模拟感知重训练算法。
- 通过高级网络正则化方法增强网络对模拟效应的适应性。
- 对模拟效应及其对网络性能的影响进行建模。
- 跨职能协作以验证和调试硬件。
- 参与下一代硬件的协同设计。
- 启动并定制神经网络。
以下是你的工作内容
- 优化 Mythic 的模拟感知软件工具链，提升网络精度、延迟和易用性。
- 设计算法和工具用于 Mythic 的神经网络转换流程。
- 构建高保真、计算高效的硬件模型。
- 参与芯片启动、调试和验证。
- 通过重构、测试、文档和其他工程最佳实践改进软件。
- 跟踪深度学习研究和神经网络框架的最新进展。
以下是所需的背景
- 计算机科学、数学或相关领域的学士学位。
- 在生产环境中拥有 5 年以上的软件经验。
- 具有处理算法密集型代码的复杂问题的经验。
- 对质量和工程卓越有承诺。
- 强大的沟通能力。
以下为加分项
- 计算机科学、数学或相关领域的硕士/博士学位。
- 具有现代神经网络框架的实际操作经验。
- 熟悉最先进的神经网络架构。
- 具有使用硬件感知方式训练神经网络的经验。
查看英文原文
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.
The AI Engineering team
- 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.
Here's what you will do
- 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.
Here's the background you need to have
- 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.
The following would be nice to have
- 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.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
Originally posted on Himalayas