Top Tech Jobs & Startup Jobs in Seattle, WA

As a Senior Python Engineer at NVIDIA, you will develop and maintain automation test suites for Ethernet Switch SONiC Network OS, working with international teams to ensure robust product testing, lead feature development, and manage projects using your strong skills in Python and Linux.

The Senior Deep Learning Software Engineer will develop high-performance software for NVIDIA's AI software stack, focusing on deep neural networks and large language models. Responsibilities include performance analysis, software tuning, mentoring junior engineers, and collaborating with teams to innovate in AI applications.

The Distinguished Engineer will lead AI Resiliency at NVIDIA, architecting and developing software features for AI model training. Responsibilities include designing resilient systems for GPU training, collaborating with engineering teams, and ensuring minimal downtime. The role requires a deep understanding of AI optimizations and software architecture, impacting critical customer projects.

As a Senior Deep Learning Engineer, you will advance AI capabilities by developing optimizations for generative AI at scale, implementing large language and multi-modal models, and collaborating on cutting-edge hardware/software frameworks.

The Senior Deep Learning Performance Architect at NVIDIA will develop advanced architectures to enhance deep learning performance, analyze performance trade-offs, and collaborate with various teams to guide deep learning hardware and software direction. The role requires a strong understanding of deep learning frameworks, performance modeling, and programming skills in Python and C/C++.

Lead the development of AI software resiliency for AI supercomputers, focusing on critical features like error detection and recovery. Collaborate across teams to integrate solutions in frameworks such as PyTorch and JAX, delivering robust and reliable AI systems.

The role involves developing proof-of-concept implementations for new technologies in networking and distributed computing, creating software stacks and algorithms, optimizing hardware features, and engaging with customers and research collaborations. NVIDIA seeks to push the boundaries of data center performance and functionality.