Nvidia Senior Engineering Manager - Enterprise AI Platform 

United States, California 

211529404

What you will be doing:

• Lead the engineering team to build world-class AI-driven employee productivity tools and automations by instituting software development discipline and agile software development methodologies.

• Collaborate with product managers to shape the strategy and roadmaps. Lead the engineering team to perform requirements analysis, release iteration planning, Git/Jira issue management, CI/CD process development, software development effort estimation, performance analysis, testing, and delivering world-class scalable and reliable software.

• Collaborate with other stakeholders from employee productivity organization to ensure that your team’s roadmaps align with the projects and technical advancements happening with the rest of the organization.

• Build and grow a diverse and high performing team.

• Leverage NVIDIA’s latest AI products and workflows including Large Language Models (LLMs), Retrieval augmented generation (RAG) technologies, GPU-optimized training and inference compute stack, Speech recognition, and other NVIDIA products and AI workflows in building enterprise solutions.

• Collaborate with various partners in enterprise business functions in gathering requirements and in crafting and delivering generative AI-infused solutions for NVIDIA.

• Drive user studies, product evaluations, and case studies and collaborate with product teams to provide valuable feedback and help improve the products.

• Be a reference client for NVIDIA’s products in its own enterprise transformation.

What we need to see:

• Bachelor’s degree in Computer Science (or equivalent experience). Preferably a graduate degree in Computer Science, or other related engineering fields.

• 10+ years overall engineering experience in building high quality secure products and platforms with distributed systems, AI applications, ML models

• 5+ overall years of demonstrated experience in engineering leadership positions in building and shipping customer facing or employee facing products resulting in significant business impact.

• Deep expertise in computer science and an insatiable curiosity to keep learning. Ability to guide the team in making informed, well-analyzed, prudent, and practical technical decisions.

• A proven track record of delivering complex, scalable, and reliable software by leading and mentoring talented cross-functional engineers.

• Strong experience in building web applications and managing containerized application deployments which run in cloud or On prem

• Ability to prioritize multiple projects at once and thrive in a fast-paced environment.

• Expertise in managing release workflows for large distributed applications.

Ways to stand out from the crowd:

• Hands on prototyping skills in Python. Can build and deploy containerized software on Cloud.

• Proven hands-on expertise and familiarity of working with LLMs, RAGs, open-source frameworks such as Lang Chain, and Langflow.

• Excellent writing skills to write, and publish case studies, and papers.

• Familiarity with NVIDIA’s products, GPU-optimized compute stack, familiarity with NVIDIA software strategy & products.