• Program Manager

    Stanford University (Stanford, CA)
    …(PM) will focus on the application and review process for the new Stanford GPU cluster, Marlowe as well as assist in coordination and administration for the various ... Responsibilities: Program management involves overseeing the allocation process for Marlowe GPU resources, ensuring equity and efficiency, and assisting with other… more
    Stanford University (08/07/25)
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  • Senior Perception Engineer

    NVIDIA (Santa Clara, CA)
    …that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason ... and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars… more
    NVIDIA (08/04/25)
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  • Senior Deep Learning Performance Architect

    NVIDIA (Santa Clara, CA)
    …architectures, interconnect fabrics and deep learning applications. + Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference. ... that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason… more
    NVIDIA (08/02/25)
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  • Machine Learning Engineer, ML Runtime…

    pony.ai (Fremont, CA)
    …techniques + Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. + ... deep learning frameworks and libraries. + Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range:… more
    pony.ai (08/02/25)
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  • Software Engineer, Systems ML - PyTorch Compiler,…

    Meta (Burlingame, CA)
    …industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar. **Preferred Qualifications:** Preferred Qualifications: 10. ... Expert knowledge of GPU or ML accelerator performance and developing kernels/libraries targeting ML HW. 11. Experience with training or serving models or end-to-end… more
    Meta (08/01/25)
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  • Software Engineer, Systems ML - PyTorch Compiler,…

    Meta (Sunnyvale, CA)
    …industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar **Preferred Qualifications:** Preferred Qualifications: 9. ... Triton, MLIR, JAX, XLA, TVM is a huge plus 10. Knowledge in GPU architecture, ML accelerator performance, and developing high-performance kernels. 11. Experience in… more
    Meta (08/01/25)
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  • Software Engineer (Systems)

    Meta (Menlo Park, CA)
    …products. 4. With cutting edge AI/ML technology, we also optimize GPU capacity savings for foundation models. **Minimum Qualifications:** Minimum Qualifications: 5. ... the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, ML systems, AI infrastructure,… more
    Meta (08/01/25)
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  • Hardware Engineer

    Meta (Menlo Park, CA)
    …to define product roadmap and program 2. Specify, design, and develop CPU/ GPU /ASIC based compute hardware solutions, and ASIC enabling hardware 3. Lead the ... designs 13. 6+ years of expertise with the industry leading designs of CPU/ GPU hardware and server system architecture 14. Master's degree in Electrical Engineering,… more
    Meta (08/01/25)
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  • ESD and Latch-up Test Engineer

    NVIDIA (Santa Clara, CA)
    …potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the ... presents an outstanding opportunity to ensure the flawless reliability of our GPU , CPU, and Tegra products through meticulous ESD and latch-up qualification tests.… more
    NVIDIA (07/31/25)
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  • Senior System Test Engineer

    NVIDIA (Santa Clara, CA)
    …solutions. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern ... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning… more
    NVIDIA (07/31/25)
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