Top Tech Jobs & Startup Jobs

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

As a Senior Deep Learning Systems Engineer, you will optimize datacenters for AI applications by analyzing performance metrics and developing software tools.

Develop and integrate full-system functional models for CPU architectures, support CPU architects, and enhance system software for performance modeling.

Drive physical design for CPUs, GPUs, and SoCs focusing on netlist-related tasks, logic synthesis, and timing closure. Help in ECO generation.

Design and architect multi-GPU systems for AI and HPC, focusing on high-speed interconnects and hardware-software co-design, while collaborating with various engineering teams.

Lead the System Design Tools and Methodology team at NVIDIA, optimizing CAD and PLM workflows, developing analytics platforms, and managing cross-disciplinary engineering collaboration for hardware product development.

The Developer Relations Manager will drive the adoption of NVIDIA's AI platforms in research labs, leveraging expertise in physics and AI while collaborating with various teams to enhance research outcomes.

The Developer Relations Manager will engage research labs to integrate NVIDIA's AI technologies into their projects, drive collaboration, and represent researcher needs internally while staying current on scientific trends.

The Senior Accelerated Computing Architect will analyze and optimize performance on NVIDIA GPUs, create algorithms, collaborate with teams, and publish work.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.