- Google (Mountain View, CA)
- Staff TPU Design Lead , Silicon _corporate_fare_ Google _place_ Mountain View, CA, USA; San Diego, CA, USA **Advanced** Experience owning outcomes and ... field, or equivalent practical experience. + 10 years of experience with RTL design using Verilog/System Verilog and microarchitecture. + 4 years of experience in… more
- Google (Mountain View, CA)
- Staff Software Engineer Lead , AI/ML _corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ... . **Responsibilities** + Define the long-term technical roadmap and lead the design of complex, high-performance model architectures,… more
- Google (Mountain View, CA)
- …the hardware and the ML model architecture. In this role, you will be expected to lead a significant aspect of the co- design . Google's mission is to organize the ... Staff Software Engineer, Video, GenAI, Machine Learning, Silicon...Optimize models to run on a Tensor Processing Unit ( TPU ) or design for hardware acceleration. Information… more
- DoorDash (San Francisco, CA)
- …back where it helps the community. + Drive cost & reliability - Design autoscaling and scheduling across heterogeneous hardware (GPU/ TPU /CPU), with strong ... and Search. About the Role We're looking for a Staff Software Engineer with deep expertise in ML model...platform. This is a highly technical, hands-on role: you'll design and build systems that power real-time predictions across… more
- General Motors (Mountain View, CA)
- …while maintaining reliability and cost efficiency. **About the Role:** We are seeking a Staff ML Engineer to help build and scale robust compute platforms for ML ... focused on platform usability and reliability. **What you'll be doing:** + Design and implement core platform backend software components + Experience cloud… more
- Amazon (San Francisco, CA)
- …and inference systems for cost and latency. * Cloud Native & Kubernetes: * Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and ... training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/ TPU optimization). * Design end-to-end ML pipelines and MLOps… more