Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Mechanical Engineer will design mechanical systems for data centers, ensuring reliability, efficiency, and scalability while collaborating with various teams.

The role involves leading global lab and data center infrastructure programs, overseeing design, construction, and operational readiness, while managing stakeholders and ensuring performance objectives are met.

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 role involves creating and executing characterisation plans for silicon devices, managing tests, and reporting results in collaboration with engineering teams.

The role involves validating AI chips, leading test design in C/C++, debugging on FPGAs, automating tests in Python, and collaborating across teams.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.

Lead financial strategy and planning for a semiconductor and AI company, partnering with senior leadership on forecasting, performance management, and decision-support. Oversee financial models, scenario analysis, capital allocation, and team leadership to drive accountability and growth.

Lead end-to-end system validation for AI compute platforms, focusing on silicon bring-up, integration, and validation across hardware and software domains. Collaborate with engineering teams to deliver high-quality AI systems.

Design and optimize storage architectures for AI data centers, focusing on NVMe SSDs and ensuring high-performance data flow to GPUs. Responsibilities include performance tuning, vendor engagement, and managing storage subsystems for AI workloads.

The role involves managing assets and inventory for R&D operations, ensuring efficient material lifecycle management and collaboration across departments to support engineering labs and data centers.