Top Engineering Jobs in Austin, TX

Lead and execute power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon stages. Define validation strategies, develop automation and benchmarks (Python), run characterization, analyze large datasets to find bottlenecks, and collaborate with architecture, RTL, firmware and systems teams to drive performance and reliability improvements.

Develop and manage software interfaces for rack management solutions, ensuring robust performance in AI systems and infrastructure. Collaborate across teams to enhance operational efficiency, employing skills in cloud-native environments and troubleshooting.

The Senior System Validation Engineer will design and implement validation tests for Arm-based SoCs, automate tests using Python, and analyze results across processing units and memory systems.

Lead the architecture and execution of Linux-based validation frameworks for Arm-based data center SoCs, defining validation strategy and ensuring system quality.

Design and implement validation tests for Arm-based SoCs, automating and analyzing validation using Python and open-source tools, while also developing custom micro-benchmarks.

The role involves developing test automation frameworks, translating hardware specifications into tests, and collaborating with engineering teams for AI hardware validation.

Lead end-to-end signal integrity analysis and optimization for blade- and rack-level high-speed compute platforms. Perform SI/PI simulations and hands-on lab validation (VNA, TDR, BERT, oscilloscopes), correlate measurements with simulations, debug margin gaps, and collaborate with silicon, package, board, connector, cable, ODMs and vendors to improve I/O channel performance and produce technical validation reports.

Design, develop, and implement diagnostics software and tools for hardware monitoring and fault diagnosis in AI systems. Collaborate with multiple teams to ensure system reliability.

The Principal Reliability Scientist leads reliability activities in high-performance systems, drives experimental design, analyses data for reliability metrics, and collaborates with cross-functional teams to enhance product reliability and serviceability.

The Principal Test Framework Software Engineer will design and implement test automation frameworks for hardware validation, collaborating with teams to ensure quality and efficiency in AI hardware systems.