Mythic is building the future of AI computing with breakthrough analog technology that delivers 100x the performance of traditional digital systems at the same power and cost, unlocking bigger, more capable models and faster, more responsive applications.
Requirements
- Experience working on complex problems with algorithm-heavy code.
- 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.
Responsibilities
- 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.
Other
- Bachelor's degree in Computer Science, Mathematics, or a related field.
- 5+ years of software experience in a production environment.
- Commitment to quality and engineering excellence.
- Strong communication skills.
- MS/PhD in Computer Science, Mathematics, or related field.
