As a Software Engineer at MatX, you will design and implement software for our proprietary hardware architecture and provide guidance on hardware architecture. Your role focuses on efficiency and performance while contributing to the development of tools for AGI workloads.

As a Software Engineer at MatX, you will design and implement compilers for proprietary hardware, providing insights from a compiler's perspective and focusing on midend and backend development. The role requires strong software engineering skills with a focus on efficiency, compiler algorithms experience, and an interest in optimizing software.

As a Silicon Verification Engineer, you will be responsible for executing the verification process for silicon, focusing on functional accuracy and performance. This involves developing testbenches and tests, managing verification methodologies, and overseeing verification milestones from design freeze to tapeout.

The Design Verification Engineer will contribute to verification methodology, execute subsystem and chip-level verification, create tests and testbenches, and plan intermediate reviews targeting silicon milestones for MatX products.

The Machine Learning Researcher will focus on training and optimizing large language models (LLMs) for specific hardware, perform quality evaluations, build distributed infrastructure for training and inference, and advise on hardware architecture from an ML perspective.

The ML Performance Engineer will build performance models and tools for ML model scheduling, create production-grade libraries for efficient distributed training, and collaborate with teams to enhance ML solutions from architecture to implementation.

The Silicon Physical Design Engineer at MatX will contribute to the physical design methodology, owning subsystems or chip-level deliverables, and ensuring performance, power, and area optimization. Responsibilities include planning reviews, executing milestones, and collaborating with related teams for optimal design results.

The Silicon Design-for-Test (DFT) Engineer will implement DFT functions for silicon products, including integrating DFT interfaces, executing verification, and collaborating on physical design. Responsibilities include utilizing DFT automation tools and working with partners for production readiness, focusing on high-performance silicon for GenAI applications.

The TA Sourcing Specialist will screen and evaluate resumes, conduct initial phone interviews, manage the applicant tracking system, build talent pools, and collaborate with hiring managers. This role requires navigating rapid changes typical of startups and ensuring a positive candidate experience.

Design and optimize kernels, work with ML Research and Hardware Engineering teams, provide expertise on hardware architecture, implement kernels for ML models, use distributed parallelism techniques, and understand compiler operations.