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As a Runtime Engineer Intern at d-Matrix, you'll work on embedded systems development, Linux software, and security projects, collaborating within an inclusive team.

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 infrastructure to support ML accelerator systems. Requires extensive experience in DevOps and software infrastructure development.

Design and verify FPGA solutions for AI inference management, develop secure boot and power management features, and collaborate on hardware/software integration.

The intern will assist in power delivery network analysis, perform lab measurements, support impedance analysis, and document findings alongside senior engineers.

The role involves designing and verifying micro-architecture for AI sub-systems, focusing on RTL development and silicon validation.

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

Lead junior team members in test planning, automation, and execution of software for AI compute engine, developing test suites and infrastructures, and collaborating on test coverage and results.

Lead the hardware development for AI accelerator platforms, focusing on high-performance designs, cross-functional collaboration, and mentorship of junior engineers.