Top Tech Jobs & Startup Jobs in Seattle, WA

Develop automated CI/CD and debugging tools, integrate OEM software, and collaborate across teams to ensure platform readiness and stability.

Lead the development of innovative architectures to improve deep learning performance, conducting performance analysis, modeling, and collaborating on hardware and software solutions.

Join NVIDIA's HPC compiler team to develop optimizing compilers focusing on C++, Fortran, and Python for GPUs and Multicore CPUs, addressing complex compilation problems and enhancing parallel computing.

Design and build scalable AI infrastructure, improve architecture and performance, collaborate with teams, and contribute to advancements in AI technologies.

The Principal System Architect will lead the architecture of high-volume GPU products, ensuring performance and scalability, and mentoring junior engineers.

The role involves developing networking solutions, conducting technical meetings, and collaborating with customers to drive AI hardware implementations.

The role involves developing deep learning architectures, performing performance analysis, and collaborating on the direction of deep learning hardware and software.

Design and implement protocols and algorithms for high performance computing systems, focusing on performance optimization and collaboration with hardware teams.

The role involves developing algorithms for robotic manipulation, integrating them into real systems, and engaging in multi-person research projects, while mentoring interns and interacting with the academic community.

As a Senior GPU Platforms Engineer at NVIDIA, you will develop platform software for GPU systems, manage complex system challenges, and improve GPU performance across configurations. This involves collaboration with multiple teams, code reviews, and in-depth knowledge of Linux and computer architecture.