Top Tech Jobs & Startup Jobs in Seattle, WA

Support and grow the RAPIDS DevOps infrastructure: manage hardware, design and maintain container/build processes, develop and publish Python packages, operate CI/CD, observability, security compliance, Linux systems, and collaborate with engineers to implement DevOps best practices.

Lead global go-to-market and co-sell strategies with AI-native ISVs and foundational model providers. Drive joint-selling, co-marketing, pipeline management, sales enablement, and cross-functional coordination with NVIDIA product and account teams to create repeatable partnership GTM motions and measurable revenue outcomes.

Lead and coordinate global software programs for deep learning training and inference frameworks. Drive cross-functional alignment, manage schedules, risks, and dependencies, implement release and open-source processes, define metrics, report status to senior management, and improve program execution across hardware, software, and infrastructure teams.

Design, build, and optimize GPU-accelerated software and open-source inference frameworks for LLMs and generative AI. Profile and tune model serving across NVIDIA accelerators, implement algorithms, contribute to inference libraries, and collaborate across teams to scale performance from datacenter GPUs to edge SoCs.

Lead go-to-market planning and content for NVIDIA AI on cloud platforms. Create customer success stories, manage events, align partner messaging, integrate models/software into marketing, and support partner and campaign teams. Travel to trade shows and trainings as needed.

Customer-facing senior software engineer supporting NVIDIA Networking (BlueField, ConnectX) for AI factories. Provide design-in support, engage customers and partners, identify architectures and requirements for hyperscale AI networking, work cross-functionally, and drive solutions involving embedded/high-performance networking, low-level programming, and performance tuning.

Provide expert-level technical support for NVIDIA DGX compute/GPU platforms: triage and resolve hardware and software issues on multi-distro Linux, debug installations and interoperability, coordinate with engineering/marketing, create KB articles, and improve support processes. Interact directly with customers via phone/email/conference and apply AI tools for debugging and documentation.

Lead GTM technical engagements with data-platform ISVs to design architectures, build POCs, benchmarks, and enablement for NVIDIA acceleration across analytics, databases, and GenAI workflows. Create reference assets, demos, and training while partnering with product, engineering, sales, and customers.

The Senior Package Layout Engineer will collaborate with teams to design IC substrates, optimize layouts, and improve productivity using Cadence tools.

The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.