Jobs at d-Matrix

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.

Lead end-to-end LLM inference engineering: prototype and deploy optimized inference systems across heterogeneous hardware. Build POCs, implement custom kernels and operator optimizations, drive quantization, sparsity, and batching strategies, maintain runtimes and serving frameworks, and contribute to distributed inference and performance profiling while collaborating with hardware, product, and business 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.

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

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

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 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 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 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.

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

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

Lead SoC architecture definition and delivery for AI accelerators. Analyze AI workloads, drive hardware/software co-design, performance modeling, simulation tools, kernel and networking fabric work, port and optimize customer workloads, and collaborate across RTL, DV, and software teams.

Design and implement efficient algorithms to optimize LLM inference on DNN accelerators. Collaborate with mathematicians, ML researchers, and engineers to apply advanced algorithmic and numerical techniques for high-impact generative AI performance improvements.

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

Responsible for developing, enhancing, and maintaining software kernels for AI hardware, mapping algorithms to architectures, and building software deliverables.

Own and scale indirect procurement covering IP/software licensing, consulting/professional services, engineering lab/hardware equipment, and corporate/facilities services. Lead sourcing, RFQ/RFPs, contract negotiations (MSA/SOW, IP licenses), procure-to-pay via Zip/NetSuite, vendor management, cost reduction, compliance, and cross-functional alignment with Engineering, Legal, Finance, HR, and Operations.

Develop, optimize, and maintain software kernels and workload mappings for next-generation AI hardware. Collaborate with compiler, systems, ML, and hardware teams to map computational graphs to hardware, implement ML operators, and scale software deliverables for AI accelerators under tight schedules.

The Senior DevOps Engineer will manage and enhance CI/CD pipelines, automate infrastructure, and provide support across engineering teams within d-Matrix.