AMDPower Modeling Engineer
任职要求
Self-driven and motivated individual who enjoys exploring power topics and working across multiple teams to deliver the best possible Perf/W. KEY RESPONSIBILITIES: Communicate closely with CG customers to understand unique customer market requirements, workloads, and use cases of interest to customer-specific applications. Work across AMD and with CG architects to utilize the company’s power management feature set to create an optimal customer-focused solution. Integrate with SOC and IP Architects to understand the SOC and IP design architecture, to ensure features of interest are properly implemented and optimally architected. Collect data from …工作职责
THE ROLE: As a passionate and dedicated member of the CG SOC Power team, you will collaborate on the next generation of products for some of AMD's most important clients. You will engage in System on Chip and IP power architecture exploration, modeling, and analysis for Customer-specific markets and workloads.
THE ROLE: As a passionate and dedicated member of the CG SOC Power team, you will collaborate on the next generation of products for some of AMD's most important clients. You will engage in System on Chip and IP power architecture exploration, modeling, and analysis for Customer-specific markets and workloads.
At NVIDIA, we pride ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, and emulation platforms. Key responsibilities include developing techniques to model, analyze, and reduce the power consumption of NVIDIA GPUs. As a member of the Power Modeling, Methodology, and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next-generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into the energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What you’ll be doing: • Work with architects and performance architects to develop an energy-efficient GPU. • Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques. • Develop methodologies to improve the accuracy of energy models under various constraints, such as, process, timing, floorplan and layout. • Correlate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon. • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators. Work with architects to fix the identified energy inefficiencies. • Work with performance, verification and emulation methodology and infrastructure development teams to integrate energy models into their platforms. • Prototype new architectural features, create an energy model, and analyze the system impact.
At NVIDIA, we pride ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, and emulation platforms. Key responsibilities include developing techniques to model, analyze, and reduce the power consumption of NVIDIA GPUs. As a member of the Power Modeling, Methodology, and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next-generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into the energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What you’ll be doing: • Work with architects and performance architects to develop an energy-efficient GPU. • Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques. • Develop methodologies to improve the accuracy of energy models under various constraints, such as, process, timing, floorplan and layout. • Correlate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon. • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators. Work with architects to fix the identified energy inefficiencies. • Work with performance, verification and emulation methodology and infrastructure development teams to integrate energy models into their platforms. • Prototype new architectural features, create an energy model, and analyze the system impact.
The Role: Tesla’s Power Electronics group is looking for a skilled and motivated individual to perform mechanical design activities for our power converter products to be used in Tesla vehicle powertrains and energy storage products. Responsibilities • Modeling and design of mechanical components and assemblies for power electronics converters including plastics, sheet metal, heat sinks, insulation systems, magnetic components, high voltage connectors, fasteners, and other components. • Mechanical design analysis including thermal, CFD, structural, design for assembly, and design for test. • Solve electronics packaging issues including electrical isolation, sealing, thermal management, interconnection, shock and vibration management, electromagnetic interference (EMI), RF communications, etc. • Create drawing packages and manufacturing instructions for parts and assemblies. • Assist in engineering prototype builds and component fabrication. • Collaborate with other mechanical, systems, electrical, firmware, manufacturing, industrial design, and test engineers to take designs from prototype through mass production.