Top Tech Jobs & Startup Jobs in Austin, TX

Design and optimize future GPU and processor memory systems for power, performance, area, and cost efficiency. Develop architecture and microarchitecture features, prototype models, and simulation workflows. Analyze benchmarks and performance or power results, debug issues across models, RTL, silicon, and systems, and collaborate with external partners. The role requires deep CPU/GPU architecture and memory systems expertise, power analysis experience, and proficiency in C, C++, and scripting languages.

Develop optimization engines for VLSI physical design at NVIDIA, focusing on algorithms in C++ for timing optimization, with significant hardware and software collaboration.

Lead design and optimization of next-generation high-speed IOs (NVLink, NVLink-C2C), focusing on IO power management, power/performance modeling, interoperability, and deep debug across cross-functional teams to enable product bringup and release.

Design, build, and operate global, multi-cloud HPC service platforms. Own IaC-driven provisioning, reliability, observability, capacity planning, incident response, and automation to ensure high uptime and QoS for internal customers.

The role involves defining verification strategies, building infrastructure for SoC verification, and collaborating with various teams to meet project requirements.

The role involves developing and implementing features for the CUDA driver and collaborating on solutions for NVIDIA's compute platform, requiring strong coding and design skills.

Verify NVIDIA GPU ASIC designs across architecture, microarchitecture, and implementation using UVM-based methodologies. Develop testbench infrastructure, apply random stimulus, functional coverage, and assertion-based verification, debug simulations, and collaborate with architects, designers, and pre- and post-silicon verification teams. The role requires SystemVerilog, C++, simulation and debug tools, computer architecture knowledge, and strong analytical skills.

Build and maintain large-scale data pipelines and analytics platforms for EDA datacenter observability, telemetry, reliability analysis, and capacity forecasting. Develop batch and streaming workflows, data models, quality frameworks, monitoring, and retention strategies using metrics, logs, traces, and hardware health data. Partner with observability engineers, data scientists, analysts, and infrastructure teams to deliver scalable, reliable, discoverable datasets for analytical and predictive use cases.

Architects next-generation GPU and CPU systems, developing microarchitectural solutions for connectivity, coherency, power, security, memory, and protocols. Models performance and power, studies AI workloads, collaborates with software and firmware teams, supports implementation, and helps customers optimize hardware performance. Requires advanced computer or electrical engineering expertise, substantial industry experience, strong coding and algorithmic skills, and understanding of LLMs and chip architecture.

Provide first-line support and troubleshooting for an HPC environment, monitor system health, triage incidents, perform maintenance and patching, and produce runbooks and documentation. Improve processes and escalate to SMEs for complex issues while supporting scheduling, compute, storage, and access concerns.