Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior Manager will lead the development of AI/ML platforms, manage a technical team, and optimize the ML workflow for large-scale projects.

Design and build scalable architectures for deep learning inference and deployment, optimizing performance and efficiency in GPU environments.

The Senior Software Engineer will focus on improving ML software stack performance, optimizing multi-GPU workloads, and resolving customer-specific issues with NCCL and CUDA libraries in data center environments.

The Senior Software Engineer will develop a code generation backend for deep learning GPUs, working on compiler infrastructure and optimization to improve performance and integration with NVIDIA's ecosystem.

The NCX Engineer will develop custom AI solutions, provide technical support, manage AI workloads, and optimize performance on NVIDIA platforms.

The role involves developing high-performance GPU memory architectures, focusing on energy efficiency, power analysis, and collaborating on system infrastructure optimization.

The role involves designing and scaling observability platforms, developing telemetry pipelines, and collaborating with engineering teams to ensure the reliability and performance of AI/ML systems.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

Seeking a Senior Engineer in Deep Learning and Computer Vision to develop machine learning models for autonomous vehicles, utilizing NVIDIA's GPUs and collaborating with researchers.

The role involves defining SoC architecture for low-power platforms, driving PPA trade-off analysis, and collaborating with CPU, GPU, and memory teams. Responsibilities also include engaging with customers and translating their requirements into architectural constraints.