Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior System Software Engineer will develop software tools for provisioning NVIDIA chips, coordinate tool lifecycles, and collaborate with various teams.

Design and deploy AI applications for telecommunications networks, focusing on generative models and infrastructure improvements, while providing technical guidance and building enterprise solutions.

Lead research and development of algorithms and systems for robotic manipulation and loco-manipulation; integrate methods into real robot systems; co-lead multi-person projects; publish and engage with the academic community; transfer research into NVIDIA products; and mentor interns and junior researchers/engineers.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

Provide technical support to NVIDIA Enterprise customers by triaging and resolving issues, working with engineering on reproductions/logs, applying AI/ML and agentic AI to build support tools and products, documenting interactions and knowledge, and owning cases to resolution (occasional weekend/holiday support).

Design and implement compiler optimizations and infrastructure for deep learning models. Analyze networks, improve performance and memory, define APIs, and collaborate with framework and hardware teams to enable efficient Ahead-of-Time and Just-in-Time execution across GPUs and NPUs.

The Principal Chromium and CEF Engineer will work on custom CEF and Chromium code, focusing on improving performance, reliability, and security, while contributing to CI/CD and collaborating with the team on quality indicators.

Lead the architecture and delivery of high-scale web products across frontend and backend services, mentoring engineers, and improving code quality. Collaborate to enhance AI infrastructure for efficient research management.

As a Principal Software Engineer in the DGX Cloud team at NVIDIA, you'll lead the development of cloud systems, drive integration strategies, mentor engineers, and architect scalable automation solutions to enhance customer experiences in AI and cloud computing.

Lead efforts in developing and enhancing PTX Compiler infrastructure for Generative AI and Deep Learning applications in NVIDIA GPUs. Collaborate with architecture teams to support AI workloads and ensure high-quality code generation.