- Zoom (San Jose, CA)
- …languages such as Python, C, C++, or CUDA, with experience in building scalable software systems. + Understand deep learning frameworks such as PyTorch, ... Machine Learning Engineer What you can expect As a...in existing systems and proposing innovative solutions to enhance performance , scalability, and reliability. + Staying up-to-date with the… more
- Zscaler (San Jose, CA)
- …countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to ... and agility with a cloud-first strategy. We're hiring a talented Principal Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses… more
- Warner Bros. Discovery (San Francisco, CA)
- …audiences + Advanced degree (MS, or Ph.D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields + ... **About You:** We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization...with 4+ years as tech lead experience (preferred) + Deep practical knowledge of Search systems, with information retrieval… more
- NVIDIA (Santa Clara, CA)
- …profiling data into actionable optimizations + Support deep learning software engineers and GPU architects in their performance analysis efforts + Work ... learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.) + Deep understanding of the software performance analysis and optimization process NVIDIA leads… more
- NVIDIA (Santa Clara, CA)
- …to work across all layers of the hardware/ software stack from GPU architecture to Deep Learning Framework to achieve peak performance , we want to hear ... help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid...the crowd: + Proven experience with processor and system-level performance optimization. + Deep understanding of modern… more
- Qualcomm (San Diego, CA)
- …+ Bring-up existing network models on Qualcomm chipsets, debug, optimize and validate the performance of Deep Learning hardware accelerators and DSP blocks. ... that is responsible for profiling and optimizing the Machine Learning (ML) performance on IE-IOT chipsets. In...preferred:** + Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, Keras,… more
- NVIDIA (Santa Clara, CA)
- …for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, and with many ... will be analyzing, debugging and resolving critical firmware and software issues for the best AI workload performance...working with engineering or academic research community supporting high performance computing or deep learning .… more
- NVIDIA (Santa Clara, CA)
- …in mind. + Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks. + Build and ... and optimize AI training workloads on new hardware and software platforms, identifying fundamental performance limiters. +...with 8+ years of experience. + Strong background in deep learning and neural networks, particularly in… more
- NVIDIA (Santa Clara, CA)
- …performance GPU math kernels to NVIDIA's cuDNN, cuBLAS, and TensorRT libraries to accelerate deep learning models. The team is proud to play an integral part ... of the kernels. What you'll be doing: + Specify test cases, derived from Deep Learning workloads, to provide adequate directed and use-case coverage across all… more
- NVIDIA (Santa Clara, CA)
- …CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ... of relevant work or research experience. + Programming fluency in C/C++ with a deep understanding of algorithms and software design. + Hands-on experience with… more
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