Top Engineering Jobs in Austin, TX

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.

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.

The Electrical Engineer will design hardware systems for AI applications, develop schematics, create PCBs, and collaborate on designs through production.

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.

Lead the development of OpenBMC firmware for hyperscale platforms, ensuring collaboration with partners and integration into CI/CD pipelines. Debug and design interfaces for platform management while aligning with hardware teams.

Lead advanced troubleshooting for server blades and rack-scale infrastructure, support hardware bring-up, and conduct validation for AI compute platforms. Collaborate with engineering teams for system reliability.

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