The role involves validating AI chips, leading test design in C/C++, debugging on FPGAs, automating tests in Python, and collaborating across teams.

The role involves managing assets and inventory for R&D operations, ensuring efficient material lifecycle management and collaboration across departments to support engineering labs and data centers.

The Systems Engineering Program Manager will lead infrastructure programs for data center operations, manage risks, and coordinate cross-functional teams to ensure successful project delivery.

Design and optimize storage architectures for AI data centers, focusing on NVMe SSDs and ensuring high-performance data flow to GPUs. Responsibilities include performance tuning, vendor engagement, and managing storage subsystems for AI workloads.

Design and optimize AI data center networks, focusing on high-performance computing and network fabrics, while collaborating with cross-functional teams.

The Senior Mechanical Engineer drives automation-based validation for hyperscale AI hardware platforms, ensuring integration and performance across components. Responsibilities include defining validation strategies, collaborating with teams, and managing validation criteria for robust AI solutions.

As a Knowledge Management Intern, you'll create technical documentation, improve knowledge-sharing systems, and assist in developing training modules for compliance and safety in AI hardware labs.

The role involves coordinating engineering programs, managing procurement and materials, tracking project schedules, and collaborating with vendors to ensure timely production and quality management.

Manage export control processes, oversee compliance with EAR regulations, automate classification tools, and coordinate with legal experts on classifications and audits.

The intern will support program managers by organizing project schedules, tracking milestones, coordinating lab readiness, and analyzing operational data for process improvements.

The role involves validating high-performance AI chips, developing tests in C/C++ and Python, leading team members, and optimizing validation processes.

The role involves validating AI chips and platforms, developing tests in C/C++, creating automated frameworks in Python, and collaborating with cross-functional teams.

We are seeking a Senior Post Silicon Validation Engineer to validate high-performance AI chips, develop validation tests, and collaborate with cross-functional teams for successful product introduction.

Seeking a Staff Hardware Engineer for advanced operational and diagnostic support of Arm-based hardware platforms, focusing on troubleshooting AI compute systems.

As a Senior Embedded SW/FW Engineer, you will design, develop, and validate silicon tests using C/C++, support post-silicon validation, and mentor engineering team members.

You will design and validate silicon in C/C++ for FPGA/Emulators, develop automated testing frameworks, and lead validation efforts for AI chips.

Lead validation and quality assurance for firmware stacks on ARM-based servers, including security, functionality, and reliability testing.

Lead the architecture and development of OpenBMC firmware for AI server platforms, enabling hardware integration, developing security capabilities, and collaborating with teams for reliable firmware delivery.

Lead architecture and development of OpenBMC firmware for AI infrastructure, collaborating with partners on reliability, scalability, and serviceability.

Develop and implement Zephyr RTOS-based firmware for microcontroller management systems in AI server infrastructures, collaborating across teams to support hardware and software integration.