Top Tech Jobs & Startup Jobs in Austin, TX

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

The engineer will develop NIC firmware features, create verification tests, and deepen their understanding of systems and networking. They will collaborate with various software teams and learn about software project operation and hardware and firmware development.

The Senior Solutions Architect will lead prototyping for AI partners, architect AI systems, resolve technical issues, and produce reusable assets to enhance enterprise AI adoption.

This role involves leading AI prototyping efforts, technical advisory for AI partners, and delivering scalable enterprise AI systems while mentoring team members.

The Senior STA Flow Engineer will enhance STA flows, develop validation methodologies, collaborate on timing strategies, and improve design performance and reliability.

As a Senior AI Frameworks Engineer, you'll develop high-performance APIs and infrastructure for GPU programming, ensuring a seamless developer experience in AI and deep learning contexts.

The role involves leading AI networking system transformations, collaborating with teams on product features, and managing customer engagements for innovative networking solutions.

Work with ASIC Infrastructure to enhance design productivity, deploy AI toolsets at scale, and improve CI systems while solving complex issues.

Design hardware accelerators and processors, develop power metrics, and collaborate with teams to deliver efficient, high-performance RTL.