1 year ago
Palo Alto, CA, USASenior
Responsibilities
- Optimize Mythic’s analog-aware software toolchain for neural-network accuracy, latency, and ease of use.
- Design algorithms and tools for the neural-network conversion pipeline.
- Build high-fidelity, computationally efficient models of hardware effects.
- Contribute to silicon bring-up, debugging, and validation.
- Improve software through refactoring, testing, documentation, and engineering best practices.
- Stay current with advances in deep learning research and neural-network frameworks.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of software experience in a production environment.
- Experience solving complex problems with algorithm-heavy code.
- Commitment to quality and engineering excellence.
- Strong communication skills.
- Preferred qualifications include a master’s or PhD, experience with modern neural-network frameworks and architectures, hardware-aware training techniques such as quantization and pruning, MLOps practices, critical API ownership, and open-source contributions.
Tech Stack
Categories
About Mythic
Mythic builds analog compute-in-memory AI processors and a compiler/runtime stack for efficient inference in edge and data-center deployments. The privately held company, founded in 2012 and headquartered in Austin, TX, sells silicon and development tools to customers in automotive, robotics, industrial, and defense markets. Investors include Honda and Lockheed Martin Ventures.