Top Engineering Jobs

Develop and deploy PCB assembly test solutions (flying probe, ICT, in-circuit and functional test) for NPI through mass production. Lead test platform development, debug complex design-test-manufacturing issues, support external manufacturing partners, and drive yield and continuous improvement using electronic test equipment and root cause analysis.

Looking for experienced DFT engineers to define and implement DFT architecture, integrate DFT requirements, and develop DFT flows for next-gen AI designs.

The Silicon Physical Design Engineer will develop AI chips focusing on performance and power efficiency, collaborating within the team and across departments.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.

Design, implement, test and document a large-scale collectives communication simulator for new AI hardware. Collaborate with cross-functional teams, troubleshoot complex issues, ensure hardware integration, mentor junior engineers, and participate in agile development to deliver high-performance communication primitives.

Develop manufacturing test solutions and diagnostics for AI compute hardware across silicon, boards, servers, and racks. Build test software and automation, design test approaches, lead complex hardware debug, and collaborate with firmware, software, and manufacturing teams to improve testability and product quality.

Responsible for leading post-silicon validation for AI SoCs, ensuring reliability and quality of new silicon. Collaborates across teams to resolve issues and improve validation processes.

Responsible for designing, implementing, testing, and documenting OS Kernel and Device Driver software, collaborating within an agile team environment.

Drive automation-based validation execution for AI hardware platforms, defining validation strategies and ensuring system readiness across blade and rack levels.

Build and maintain tools and services for software build, test, deployment and release. Deploy and operate cloud-native services (Kubernetes/Docker), manage infrastructure as code, improve CI/CD pipelines, and support junior engineers while ensuring reliability and reducing toil.