Top Tech Jobs & Startup Jobs in Austin, TX

The role involves analyzing deep learning networks, optimizing compiler algorithms, and collaborating across teams to enhance deep learning software performance and usability.

The Senior System Software Engineer will develop software tools for provisioning NVIDIA chips, coordinate tool lifecycles, and collaborate with various teams.

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

The role involves verifying high-speed coherent interconnect designs, defining verification scope, and developing verification infrastructure, collaborating with various teams to ensure correct designs.

Develop and maintain system-level methodologies and automation tools for SOC/CPU creation. Improve front-end RTL integration and quality, perform design quality checks, and coordinate with ASIC, physical design, CAD, package, software, and DFT teams to enable efficient, scalable chip builds.

Develop and implement compiler optimization algorithms for deep learning workloads, analyze networks, debug and profile GPU performance (CUDA), define public APIs, and deliver ahead-of-time and just-in-time compilation techniques for NVIDIA GPUs to improve inference performance, build times, and memory efficiency.

Provide technical support to NVIDIA Enterprise customers by triaging and resolving issues, working with engineering on reproductions/logs, applying AI/ML and agentic AI to build support tools and products, documenting interactions and knowledge, and owning cases to resolution (occasional weekend/holiday support).

Design and deploy rack-scale AI infrastructure and cluster solutions for NVIDIA products. Collaborate with product teams and cross-functional engineering groups to onboard hardware/software stacks, optimize cluster deployments, and support multi-site datacenter and lab rollouts. Troubleshoot complex system failures, automate provisioning, and improve time-to-market for next-generation GPU/Tegra-based products.

Lead efforts in developing and enhancing PTX Compiler infrastructure for Generative AI and Deep Learning applications in NVIDIA GPUs. Collaborate with architecture teams to support AI workloads and ensure high-quality code generation.

The AI Hardware Architect will analyze and design next-generation AI hardware, focusing on microarchitecture, connectivity, and system performance for GPUs and CPUs.