Jobs at d-Matrix

The Principal Technical Program Manager will lead engineering excellence, implement agile practices, and manage software program delivery at scale while liaising between software teams and leadership.

Design analog-mixed signal integrated circuits, optimize for low power performance, and collaborate on silicon bring up and debugging.

The Principal Technical Program Manager will drive engineering excellence in chip development, ensuring predictable project delivery and fostering collaboration between teams.

Develop, enhance, and maintain software kernels for AI hardware. Collaborate with teams to optimize hardware-software co-design and build compiler infrastructure.

Manage end-to-end supply planning and execution for silicon and PCIe card product lines, driving logistics, inventory management, and sales order processing while leveraging AI tools and optimizing operations in NetSuite ERP.

The Supply Chain Manager will oversee Asia operations for AI hardware, managing procurement, logistics, inventory, and supplier relationships while leveraging AI tools for optimization.

Responsible for runtime firmware development for AI inference processors, optimizing low-level functionality, collaborating with hardware teams, and validating silicon performance.

Assist the Machine Learning Team in researching and developing deep learning techniques, collaborate on algorithm-hardware co-design, and support R&D goals.

As a Software Engineer at d-Matrix, you will design and develop diagnostic tools for AI inference accelerators, enhancing the toolset for hardware validation.

Design and analyze analog-mixed signal integrated circuits for AI inference accelerators, focusing on circuit design, performance analysis, simulations, and collaborating with layout and backend engineers.

Responsible for demand and supply planning for server systems, managing partner contracts, and ensuring inventory and customer order fulfillment through cross-functional collaboration.

The intern will design and implement AI solutions for manufacturing workflows, focusing on LLMs to improve operational efficiency, data management, and collaboration across teams.

As a Principal Software Engineer, you will develop and maintain software kernels for AI hardware, collaborating on full-stack optimization and compiler infrastructure.

Lead the NPI engineering team for AI accelerator hardware from concept to production, overseeing systems architecture, validation, and cross-functional execution.

Responsible for defining qualification strategies for AI compute platforms, ensuring hardware reliability through testing, failure analysis, and collaboration across teams.

Responsible for architecture, development, and validation of firmware/software for AI inference on multiprocessor SoCs, ensuring runtime performance. Collaborate with hardware teams and deliver quality code.

The Senior Staff Signal Integrity Engineer drives SI/PI strategy for AI accelerators, leads modeling/simulation, optimizes power delivery networks, and provides technical mentorship.

As a Compiler Architect, you'll design and implement a scalable MLIR-based compiler for cloud-based AI inference, focusing on optimizing large-scale AI models and architecting efficient software pipelines for deployment.

Responsible for power estimation, architectural tool development for AI workloads, and optimizing performance monitoring in micro-architecture and RTL. Collaborate with teams for design integration and silicon validation.

The Principal Architect will analyze ML workloads, contribute to hardware/software features for inference accelerators, and develop analytical performance models.