Top Engineering Jobs in Austin, TX

Lead systems engineer for blade and rack validation of ARM/x86 server compute racks. Drive first-silicon bring-up, firmware integration, lab and debug tool development, test plan ownership, triage and resolution of HW/FW/SW issues, and cross-functional coordination to meet program milestones and improve validation capabilities.

Lead server and blade rack bring-up, install and configure servers, manage inventory via DCIM, run post-silicon validation and debug for CPU/GPU/HBM/IO, develop lab validation tools and scripts, coordinate data center projects and vendors, and drive technical improvements in system validation.

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

Design, build and maintain CI/CD pipelines, automation and tooling to build, test, package and release hardware validation software. Improve developer productivity, implement automated quality gates, manage versioning and artifacts, troubleshoot CI/CD failures, and document release procedures while partnering with framework, test and hardware engineers.

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

Lead development and deployment of system-level test (SLT) hardware and software for AI processors. Drive SLT workstreams from requirements through production readiness, develop test boards and automation, perform characterization and reliability screening, lead failure analysis and yield learning, collaborate with DFT, OSATs, and manufacturing, mentor junior engineers, and support production ramp and vendor engagements.

Lead post-silicon bringup and validation for high-performance AI chips. Develop and debug bare-metal C/C++ tests on FPGA/emulator and deploy on first silicon, build Python automated test frameworks, analyze failures, improve test infrastructure, and collaborate across teams to characterize and stabilize silicon.

Lead and build an SLT test engineering team to develop system-level test capabilities for multi-die AI processors. Define manufacturing test solutions, design test fixtures, write production and characterization test programs on SLT platforms, collaborate across silicon, test, DFT and manufacturing teams, transfer solutions to volume manufacturers/OSATs, and support bring-up, failure analysis and yield improvement.

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

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon phases. Define validation strategies, develop automation and benchmarks (Python), run post-silicon bring-up, characterize CPU/memory/interconnect/I/O under workloads, analyze data to find bottlenecks, and collaborate with cross-functional teams to remediate and improve validation infrastructure.