Top Engineering Jobs in Austin, TX

The role involves creating and executing characterisation plans for silicon devices, managing tests, and reporting results in collaboration with engineering teams.

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

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.

Lead end-to-end system validation for AI compute platforms, focusing on silicon bring-up, integration, and validation across hardware and software domains. Collaborate with engineering teams to deliver high-quality AI systems.

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 engineer will create and execute plans for silicon device characterisation, liaise with engineering teams, and automate testing processes while producing detailed reports.

The role involves leading the bring-up and characterisation of silicon devices, executing tests, and liaising with engineering teams to ensure correct operation under all conditions.

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

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.