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Job Description The role of a Partner Marketing Manager at Canonical Canonical is looking for a partner marketing manager who will be responsible for developing Canonical co-marketing relationships with silicon vendors (AMD, ARM, Intel, Qualcomm, Mediatek, NVIDIA.
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Familiarity with AMD, Intel, or other parallel architectures is advantageous. Intel AVX programming expertise. Background in HPC development using Linux clusters and supercomputers, including MPI.
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The regulation of receptor trafficking is a novel concept for angiogenesis-related and vascular-leakage-related diseases such as cancer growth, cancer metastasis, and eye diseases (diabetic retinopathy and wet AMD.
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MACHINE LEARNING SOFTWARE DEVELOPMENT ENGINEER THE ROLE: As a Machine Learning Engineer specializing in low-level performance optimization, you will play a critical role in helping our customers to advance AMD-based machine learning infrastructure and ensuring the efficient deployment of state-of-the-art large models.
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At AMD, your base pay is one part of your total rewards package. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
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Hands-on experience with NVIDIA systems/SDKs (e.g., Triton Inference Server), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or AMD GPU solutions. Certifications in cloud computing (e.g., Oracle Cloud Infrastructure Architect Associate, AWS Certified Solutions Architect, Azure Solutions Architect) and GPU computing (e.g., NVIDIA Certified Associate – AI in the Data Center) are a plus.
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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Your ability to communicate effectively in both writing and verbally, coupled with outstanding project management skills will stand you in good stead at AMD.
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Experience/Understanding of hardware: X86, ARM, Computer, System, DRAM, Intel, AMD. Experience/Understanding of hardware: X86, ARM, Computer, System, DRAM, Intel, AMD. Experience/Understanding Software: Python, Linux, SQL, C#, Golang.
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Designing Digital Signal Processing code for FPGAs (Altera/Intel or Xilinx/AMD). The Digital Design Engineer will engage in a variety of technical projects including Field Programmable Gate Array (FPGA) hardware and firmware design, and embedded microcontroller design and development.
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Intel/AMD CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs. CoreWeave builds cloud solutions for compute intensive use cases - VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming - that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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We are searching for a senior Analog/Digital design engineer to join the Mixed Signal PHY design team in AMD. This is an exciting opportunity to be a member of the IO design team responsible for defining, specifying, and implementing designs for the next generation of high-speed GDDR and high-speed clocking (PLLs) IP on advanced technologies for future generations of AMDs products.
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Familiar with Intel/AMD/Nvidia technique site service Familiar with memory, storage device, file system, Ethernet application, performance prediction/calculation on scale up, scale out Familiar with HPC/cluster/server workload, benchmark for computing, generative/inference AI, finance, government, enterprise, CFD, Nvidia solutions, etc.
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Experience in various HPC systems, various HPC technologies: Cray/Cray EX, IBM, SGI, Penguin, or custom architectures InfiniBand (IB), Intel Omni-Path interconnects Intel Xeon, AMD EPYC, or ARM CPUs Nvidia graphic processing units (GPU)s.
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The AMD is responsible for representing the mission and values while creating a positive culture, hiring and development of staff, driving hospital growth and delivering performance objectives.
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As a Machine Learning Engineer specializing in low-level performance optimization, you will play a critical role in helping our customers to advance AMD-based machine learning infrastructure and ensuring the efficient deployment of state-of-the-art large models.
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