Join NVIDIA, a leader in transforming computer graphics, PC gaming, and accelerated computing, as we pioneer the next era of AI. We're seeking a Forward Deployed Architect to provide critical technical leadership and strategic guidance for AI Accelerator engagements. This role is ideal for innovators curious about novel hardware and defining how new platforms are used at scale, tackling infrastructure challenges that haven't been solved yet.

This position offers a unique opportunity to work alongside customers and partners, ensuring the optimal adoption of NVIDIA technology and shaping the future of AI workload deployment.

You will lead cross-account technical initiatives, offering architectural direction for complex engagements requiring advanced implementation and customization. Focus on delivering customer outcomes by integrating the right components and advising on NVIDIA software solutions, while also identifying and addressing gaps.

Dive hands-on into intricate technical challenges to solve critical problems and validate solutions. Drive technically demanding programs from end-to-end, including performance benchmarking. Identify recurring challenges and share successful solution patterns across the AI community.

Develop standardized approaches and reference architectures based on field learnings. Collaborate closely with product, engineering, and other customer-facing teams to ensure field insights inform internal strategy. Design technical strategies for advanced AI workloads and facilitate the enablement of new NVIDIA hardware with customers and partners.

We are looking for candidates with a Bachelor's degree or equivalent experience, possessing over 10 years in technical roles like solutions architecture, ML engineering, or technical consulting. Alternatively, 5+ years of specialist experience at the forefront of AI infrastructure is highly valued.

Demonstrate strong technical leadership, influencing decisions and guiding teams without direct authority. Possess systems thinking capabilities to translate customer needs into robust technical requirements and architectures. Be willing to engage hands-on to troubleshoot and validate solutions.

A solid foundation in AI infrastructure technologies, particularly Linux systems administration, is essential. You should be a self-directed learner, capable of independently mastering new technologies and domains. Excellent communication skills are required to engage effectively with diverse technical and executive audiences.