Top AI & Machine Learning Jobs in Austin, TX

The role involves creating and executing plans for the bring-up and characterisation of silicon devices, ensuring they operate correctly in various conditions. The engineer will collaborate with teams to develop automated testing systems, document requirements, and produce detailed reports on characterisation results.

The Staff AI Performance Engineer will optimize performance across ARM-based architectures and distributed systems, analyzing AI workloads and collaborating to enhance system efficiency.

Lead cross-functional programs for AI networking infrastructure, ensuring alignment between network architecture, hardware development, and operational readiness. Manage supplier relationships and oversee the technical roadmap for scalable AI infrastructure delivery.

The AI Platform Architect will design a cohesive architecture for AI environments, oversee workload orchestration, eliminate system bottlenecks, and collaborate on hardware-software integration. Responsibilities include developing a 3-to-5-year technical vision for the AI platform and ensuring data flow between AI compute nodes and network fabrics is optimized.