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

Design Verification Engineer role focusing on AI in a hybrid environment, requiring expertise in SoC verification methodologies and leadership in projects.

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.

Design and develop micro-architecture and RTL for AI Control subsystems, focusing on performance, efficiency, and verification. Engage in silicon validation.

Lead the development of AI server and cluster solutions, engaging with customers and stakeholders to deliver high-quality products. Collaborate across teams to optimize performance and validate design requirements.

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.

Design, secure, and operate the network infrastructure for d-Matrix, enhancing security, automation, and performance across various environments.

Design and implement a scalable MLIR-based compiler framework for cloud-based AI inference, collaborating with multiple teams to optimize model deployment.

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

The role involves developing software kernels for AI hardware, optimizing algorithms for various architectures, and collaborating with compiler and hardware experts.

Intern will engage in functional hardware verification, utilize UVM methodologies, and employ formal verification techniques to enhance simulation and productivity in AI technologies.

As an AI Software Architect Intern, contribute to AI application performance by mapping ML algorithms to hardware units and proposing new features while collaborating with different teams.

The DFT ATPG Engineer will define and implement DFX solutions for AI Accelerators SoCs, ensure design rule coverage, and generate manufacturing test patterns, among other responsibilities.

Design and analyze analog-mixed signal circuits, optimize performance for AI applications, collaborate across teams, and build testing scripts.

The Software Machine Learning Test Engineer will develop test automation for AI components, improve test infrastructure, and ensure software quality for machine learning models using Python and GitLab CI/CD.

The role involves leading SoC verification projects, utilizing methodologies like UVM/OVM, and fostering a collaborative team culture focused on AI innovations.

Responsible for productizing software stack for AI compute engine; focusing on development, optimization, and scaling of AI deployment software, collaborating with hardware and software teams.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.