Top Tech Jobs & Startup Jobs in Austin, TX

Verify GPU micro-architecture using formal verification tools: define scope, write and implement formal testplans (assumptions, assertions, covers), develop abstractions to obtain proofs, drive tool performance, debug RTL, create scripts/flows, and communicate coverage to partners.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

The role involves bridging architecture and design, analyzing power trade-offs, and improving power efficiency for CPU cores, with a focus on AI and HPC workloads.

The role involves researching, designing, and implementing advanced storage solutions for HPC workloads, optimizing for performance, cost, and scalability across cloud infrastructures, while automating management processes and providing support for deep learning workflows.

The role involves designing and maintaining verification environments, developing test plans, creating UVM components, launching regressions, and collaborating with engineers to ensure high-quality IP delivery.

As an ASIC Verification Engineer, you'll verify designs using advanced methodologies, develop verification infrastructure, and collaborate with teams to test hardware and firmware interactions.

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

The role involves developing test plans, implementing verification infrastructures, and collaborating with design teams to ensure the correctness of global IP across multiple products.

Develop and deliver system-level IP and RTL to measure performance on GPUs/SOCs. Create and automate flows, run/debug RTL checks (CDC, clocks, resets, latency), implement RTL features, and collaborate with architects, designers, and software engineers to support projects and performance monitoring.

Lead floorplan design from early architecture through physical implementation for high-performance SoCs/CPUs/GPUs. Collaborate with cross-functional teams to optimize area, power, timing, and interconnect; develop AI-driven workflows and tools; identify technical risks and drive mitigation to meet product goals.