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The role involves conducting performance analysis and benchmarking on large multi-GPU and multi-node clusters, studying library interactions with hardware and software, triaging performance issues, and building tools for data visualization. The engineer will collaborate with teams across time zones and needs to have a strong background in HPC and performance engineering.
The Senior GPU Performance Architect will analyze and study the performance of AI applications, particularly large-scale generative models and neural graphics. Responsibilities include identifying bottlenecks in hardware features, improving architectural performance, developing innovative performance analysis tools, and collaborating with world-class architects to enhance graphics performance and efficiency.
Design and implement GPU compute clusters for deep learning and high performance computing workloads. Provide leadership in strategic challenges for compute, networking, and storage design. Develop automation solutions and support researchers in running flows on clusters.
The Senior GPU Memory Architect will develop and optimize GPU memory architecture, improve memory access efficiency, analyze performance simulation results, create architectural specifications, and debug high-level models and silicon issues. The role requires extensive experience in GPU or CPU architecture, particularly in memory systems.
The Senior GPU Architect will be responsible for designing new hardware features, developing graphics and parallel processing algorithms, and building simulators for architecture validation. They will collaborate with other architects and researchers while documenting and developing tools for analysis and validation of performance models.
The Senior FPGA Prototyping Engineer will build FPGA prototypes for next-gen GPUs and SOCs, improve performance, analyze timing, and support customers. Key tasks include designing, partitioning, synthesizing, and bringing up designs on FPGA platforms, while coordinating with various engineering teams to ensure project success.
As a Senior GPU Cluster Software Engineer, you'll design and implement profiling solutions for applications on GPU compute clusters. You'll be responsible for building distributed systems with monitoring and alerting capabilities, while also focusing on ML/DL application performance. The role requires collaboration with research teams to enhance profiling tools and support the efficiency of future GPU cluster generations.
The Senior Emulation Power Engineer at NVIDIA focuses on improving power efficiency of GPUs by analyzing power data, developing emulation methodologies, and collaborating with various engineering teams. Responsibilities include modeling power consumption, performing power analyses, debugging, and prototyping new architectural features in Verilog.
As a Senior Formal Verification Engineer at NVIDIA, you will verify the design and implementation of CPUs and high-performance computing solutions by developing formal verification methodologies, writing test plans, and ensuring design correctness through advanced verification techniques. You will collaborate with a skilled team to achieve full or bounded proofs using various formal verification tools.
The Senior Firmware Engineer will work on firmware development for NVLINK-C2C, focusing on boot architecture, validation, and debug for NVIDIA products. Responsibilities include systems architecture specifications, implementing power states, and using expertise in digital systems and architecture to refine validation strategies.
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