Top Tech Jobs & Startup Jobs in Seattle, WA

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

The Solutions Architect will drive AI/ML networking solutions, collaborating with customers, sales, and engineering to develop and support critical infrastructure, while managing performance issues and feature requests.

The role involves supporting NVIDIA's customers with AI and HPC networking solutions, managing technical insights, and collaborating with teams for solutions.

The role involves developing AI models for fault-tolerant quantum systems, conducting research in quantum computing, and collaborating with teams to integrate AI solutions into quantum hardware.

Seeking a Machine Learning Compiler Engineer with expertise in compiler technologies, machine learning, and software engineering to innovate in development tools and AI solutions.

Design and implement platform workflows for firmware and software, collaborate with hardware teams, mentor engineers, and ensure product reliability and scalability.

As a Senior Software Engineer at NVIDIA, you will develop profiling tools, design product features for performance data analysis, and collaborate across teams to enhance user experience in cloud environments.

The Senior Memory Controller Verification Engineer will develop verification infrastructure, drive test plans, ensure coverage, and assist with post-silicon verification for NVIDIA's GPU Memory Subsystem.

Develop high-fidelity performance models for AI systems, prioritize features for software and hardware roadmaps, and evaluate the performance of GenAI workflows.

Lead complex software program management at NVIDIA, focusing on cross-functional initiatives for AI software platforms, ensuring timely delivery and operational readiness.