Top Tech Jobs & Startup Jobs

The role involves defining and productizing the operational standards for enterprise AI infrastructure, focusing on seamless integration, management, and automation of DGX systems in private data centers.

The role involves developing system-level tools, conducting partner design reviews, troubleshooting issues, ensuring design quality, and delivering technical training.

The Solutions Architect will develop AI solutions, lead technical collaborations, and support AI model lifecycle for NVIDIA's accelerated computing platform.

Lead simulation-driven R&D for data center hardware, performing mechanical, thermal, and CFD simulations to optimize designs and validate models.

The Senior Network Reliability Engineer will support cloud and datacenter networks, manage incidents, engage with vendors, and drive operational improvements.

The Senior Verification Engineer will verify NVIDIA's next generation CPUs, work with micro-architecture, collaborate with architects, and engage in full stack development from verification to silicon.

Develop and enhance LLM inference algorithms, improve performance benchmarks, and collaborate with teams to create software solutions in deep learning.

The role involves developing high-speed optical transceivers, leading technical designs, collaborating with teams, and performing lab work for optimization.

Lead the block storage engineering team, designing and developing Python modules and maintaining tools and scripts for distributed systems and CI processes.

Analyze novel network features' performance impact on AI workloads, develop network models, and collaborate with cross-functional teams in HPC environments.