Top C++ Jobs

The Senior High-Performance AI Training Engineer will analyze, profile, and optimize AI training workloads on advanced hardware, particularly focusing on GPU performance. This role involves implementing production-quality software across NVIDIA's deep learning stack, building tools for automation, and contributing to the MLPerf benchmark suite. Candidates must have a strong background in deep learning and experience in optimizing application performance on GPUs.

As a Senior Software Engineer at NVIDIA, you will develop simulation environments for 5G wireless products using GPU technology. Responsibilities include collaborating with various teams, implementing signal processing algorithms, and optimizing software for system performance.

The Senior GPU Compiler Development Engineer will enhance PTX Compiler infrastructure, support new compilation models for Deep Learning and Generative AI, and collaborate on programming model design for GPUs. Responsibilities include leading efforts, ensuring compatibility, and delivering high-quality code generation.

Develop systems for 5G/6G wireless products utilizing GPU technology, focusing on PHY/MAC layers. Responsibilities include applying AI/ML for radio access networks, algorithm design, and collaborating on performance analysis and commercialization.

As a Senior System Software Engineer at NVIDIA, you will develop software architecture for GPU/SOC memory management, design kernel drivers, perform performance analysis, and collaborate with global teams to enhance product features and specifications.

The Senior Developer Technology Engineer in the Public Sector at NVIDIA will research and develop techniques to optimize applications for GPU acceleration. Responsibilities include engaging with experts, guiding developers, optimizing algorithms, and performing analysis to enhance application performance on various architectures. Travel for conferences and site visits may be required.

The Senior DL Algorithms Engineer will analyze and optimize deep learning inference workloads on NVIDIA's hardware and software platforms, implement production-quality software, and collaborate across teams to enhance performance. Key responsibilities include profiling workloads, advising on optimizations, and building automation tools for analysis.

As a Senior ASIC Verification Engineer, you will verify the design and implementation of high-speed coherent interconnects for mobile SoCs and GPUs. Responsibilities include developing verification infrastructure, defining verification scope, and collaborating with various teams to ensure design correctness. You will also architect test bench environments and utilize advanced verification methodologies.