…experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume Experience in Machine Learning IPs Silicon development Experience in…

…next-gen architecture for Apple Vision products. The position allows you to work on wide range of topics including prototyping, hardware & silicon definition, software…

…chipset or platform level. -- Architectural knowledge in application processor, modem processor, AR/VR, machine learning, IOT, automotive or computing. -- Hardware or software design or…

…As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our…

…NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and…

…As a member of the AWS Trainium Machine Learning Acceleration team you’ll be responsible for the System design and optimization of hardware in…

…hard-to-reproduce PHY calibration bug seen in customer silicon Developing architecture and state machines to handle multi-lane synchronization or adaptive equalization across…

…By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development for our Software and AIML…

…From Trainium, the purpose-built machine learning accelerator driving the next wave of AI innovation, to Graviton, the Arm-based server processor redefining price…

…Apple silicon architecture. We collaborate with SoC/IP architecture, system, software, and algorithm teams to develop integrated, highly optimized solutions for machine learning applications…

…Advanced degree (Master’s or PhD) with a focus on optimization, simulation, or machine learning, or equivalent experience. Prior background in the technology hardware…

…ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and…

…Engineers here bring deep experience across compilers and program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large…

Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron…

…Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a…

…NICE TO HAVE: - Deep familiarity with transformer-based architectures for 3D perception, BEV representations, multi-task learning, and dense prediction. - Familiarity with occupancy-based…

…Track and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in silicon design workflows. Occasionally…

…Scala) or other higher-level hardware DSLs Working knowledge of machine learning algorithms & how they map to hardware Familiarity with Synthesis and power analysis…

…at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied…

…Experience with silicon prototyping, emulation systems, and virtual platforms. Solid understanding of computer architecture with particular emphasis on the HW/SW interfaces of high…

…Strong foundation in Machine Learning and Deep Learning: Experience with ML algorithms and deep learning architectures (e.g., CNNs, RNNs, Transformers). Experience using generative…

…Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms…

…In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation…

…Work with cross-functional leads, including product managers, systems architects, researchers, and software architects, to develop industry leading Machine Learning IP’s optimized for…

…make them more effective, product software engineers - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance…