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The Infrastructure Engineer will manage HPC clusters, maintain CI/CD systems, and ensure optimal developer environments, fostering success for engineers.

Own board design lifecycle for AI compute boards: specifications, schematic capture, verification, layout handoff, lab bring-up and debugging, validation, and support for platform and manufacturing tests while collaborating with cross-functional teams.

Develop and sign-off performant silicon from RTL to GDSII across blocks, subsystems, and full-chip. Lead partitioning, floorplanning, synthesis, P&R, clocking, verification, timing/power sign-off, and collaborate with Design, Verification, and DFT teams to meet tapeout milestones.

The AI Runtime System Software Engineer will design and implement system software components, optimize ML workloads, and collaborate with hardware teams, requiring strong Linux and C programming experience.

Responsibilities include contributing to verification methodology, creating testbenches for silicon validation, and driving reviews on verification progress.

Develop and execute Rust tests to verify silicon designs and software, ensuring they conform to specifications by identifying discrepancies before production.

Design and optimize hardware interfaces, collaborate with ML and hardware teams, and ensure software and hardware integration.

Develop and maintain performance models of hardware, while collaborating with architecture and runtime teams. Optimize performance and contribute to architectural reviews.

The Architect will oversee hardware architecture, collaborate with teams, and enhance silicon design performance for AI models.

MatX is seeking a Technical Recruiter experienced in hiring for Semiconductor and Hardware roles, focusing on AI technologies. Responsibilities include building candidate pipelines, ensuring a positive hiring experience, and reporting on recruitment metrics.