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

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

…As Technical Manager for TPU DRAM, you will develop and validate high performance memory subsystems for upcoming machine learning products. In this role, you…

…Knowledge of processor design, accelerators, or memory hierarchies and machine learning algorithms. Knowledge of high performance and low power design techniques.

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

…customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key…

…https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success You: As a Sr. Machine Learning Compiler Engineer on the…

…In this role, you will architect repeatable verification workflows and high-fidelity simulation environments, including Hardware-in-the-Loop (HIL) and Software-in-the…

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

…As a Data Scientist, you will be responsible for developing advanced analytics and machine learning solutions for user terminals. You will develop predictive models…

…Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI…

…AI / Machine Learning: SW Development, Algorithmic Models, ATE test development using AI, Analytic reviews with Design and DFT. Adjacent disciplines: Collaborate with packaging teams…

Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s…

…debugging first-silicon issues to root cause Working knowledge of machine learning SoCs or microprocessors (CPU/GPU) and modern computer architecture Excellent communication skills…

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

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

…generates optimized code for Apple Silicon GPUs. We build synergies with hardware and software teams, from early architecture exploration through production hardening and shipping…

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

…for machine learning and artificial intelligence. We are looking for a highly hands-on engineer who will be responsible for DFT architecture and implementation…

…machine learning networks on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures…

…architectures, pressure-testing integration approaches, and diving in when a program needs it. Fielding intelligent machines is a systems problem spanning software, hardware, and…

…with judgment about the trade-offs between them Machine learning accelerators, dataflow architectures, or reconfigurable silicon High-speed interconnect and memory modeling: PCIe, Ethernet…

…Identify optimization opportunities and lead the design and architecture of improvements. Implement changes across hardware, operating-system, and application layers. Deliver robust, high-quality…

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

…Good understanding of machine learning fundamentals and familiarity with ML frameworks (PyTorch, JAX, CoreML) Knowledge of Operating Systems, Computer Architecture, and CPU/GPU programming…