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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Hardware Architect - Silicon”. A match may be a passing mention rather than the job itself. Titles only.
73 roles across 88 listings · show every listing · page 1 of 3
…to engage credibly with engineers on architecture trade-offs (e.g., zonal versus federated domain architectures, hardware/software integration, interfaces and data flow) and…
…architecture, machine learning workloads, and system-level performance optimization . This role focuses on CPU software–hardware co-design for next-generation QMX architectures , including…
…In this role, you will collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomm’s silicon. You will work with…
…machine learning networks on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures…
…chipset or platform level. -- Architectural knowledge in application processor, modem processor, AR/VR, machine learning, IOT, automotive or computing. -- Hardware or software design or…
…chipset or platform level. -- Architectural knowledge in application processor, modem processor, AR/VR, machine learning, IOT, automotive or computing. -- Hardware or software design or…
…This team is dedicated to building hardware that enables learning through data collection and system testing. Translate industrial design intent (from ID models, renderings…
…Machine-Readable Content Architecture: Author highly structured, factual, and high-information-gain technical collateral (such as reference architectures, integration guides, and specification matrices) optimized…
…at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied…
…Led programs spanning hardware and software (compute architecture, sensor and system integration, lab-to-platform test), enough to set direction for EE / hardware and…
…emulation (Palladium, Zebu, Veloce), or silicon failure analysis and debug - Exposure to Machine Learning hardware or software architecture (coursework or projects acceptable) Amazon is…
…RedHawk, Cadence Voltus) and pre-silicon to post-silicon power model correlation - Experience with Machine Learning Hardware/Software Architecture - Experience with CI/CD - Knowledge…
…disciplines including silicon engineering, hardware design and verification, software, and operations. With such breadth of talent, there is opportunity to learn all of the…
…Ability to devise experiments and analyze data for silicon debug. Machine Learning algorithms (ML) and scripting is a big plus.
…machines, and bus protocols. Preferred qualifications: Master's degree or PhD in Electrical Engineering or Computer Engineering, with an emphasis on computer architecture. 5…
…at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied…
…based architectures and current approaches to efficient or scalable foundation-model training. Master’s degree, or equivalent practical experience in machine learning, computer science…
…of computer architectures used for neural network inference, and neural network performance characteristics Knowledge of the principles behind popular machine learning and neural network…
…By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. We are…
…pipelines for resource-constrained wearable hardware Collaborate with hardware engineering, optics, and silicon teams to co-design sensor architectures that meet the form factor…
…We hire product managers who learn new domains fast and reason rigorously from evidence. Deep background in GPU hardware, systems, or the semiconductor ecosystem…
…Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion circuits, ultra-low power amplifiers, DC/DC converters, digital on-chip sensors, high…
…Use machine learning and AI technologies to identify design and test bench issues and ensure DV quality. Support MAC subsystem validation using Palladium and…
…Use machine learning and AI technologies to identify design and test bench issues and ensure DV quality. Support PHY subsystem validation using Palladium and…
…chip architecture, µArchitecture, or design verification experience Experience with computer vision and machine learning domains across stack at system integration level with hardware acceleration…