- Amazon (Seattle, WA)
- …experience - 7+ years of experience in server level design for compute, storage, accelerator segment or other complex product design - 7+ years' experience ... (LE)). Amazon Web Services (AWS) Hardware Engineering team creates compute, storage, accelerator , and enterprise servers for Amazon's innovative web services. We are… more
- Texas Instruments (Bellevue, WA)
- …world. Love your job.** When you join TI, you will participate in the Career Accelerator Program (CAP), which provides professional and technical training ... ramp into TI and set you up for long-term career success. Within this program , we also...solutions for customer designs. This rotation focuses on technical product selection, schematic/layout capture, PCB layouts, fabrication processes, board… more
- Amazon (Seattle, WA)
- …processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications - Experience ... Description The AWS Nvidia Accelerator Hardware Team designs, develops, operates the Nvidia-based...of skilled hardware engineers. system development engineers and technical program managers, to manage ODMs and work with internal… more
- IDEX (Tukwila, WA)
- If you're looking for a special place to build or grow your career , you've found it. Whether you're an experienced professional, a recent college graduate or ... Industry Experience **Compensation** Weighted Base Salary, Uncapped Commission + Accelerator , Full Benefits, Company Vehicle, Laptop, Cell Phone **Travel** 60%+… more
- Amazon (Seattle, WA)
- …the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and ensure our customers have continual access to the innovation they ... a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You'll collaborate with people across… more
- Meta (Bellevue, WA)
- …Lead the GPU AI Systems Co-Design Team responsible for driving Meta's GPU accelerator roadmap 2. Analyze trends and insights in Training and Inference workloads ... efficiency at scale 4. Collaborate cross-functionally across hardware, infrastructure, software and product teams to drive engineering efforts 5. Build and scale a… more