Join the Enterprise AI & Automation team in NVIDIA IT to drive the development of outstanding AI-powered employee productivity solutions to improve employee experience, and business productivity. As part of this initiative, we are building generative AI-based conversational virtual assistants, copilots for enterprise applications, and other forward-looking solutions across IT and other business functions including sales, HR, and supply chain by using NVIDIA’s own technology stack. As the Senior engineering Manager you will lead the engineering team to build and deliver world-class AI workflows using Vendor platforms, open source and On-prem that has cutting edge latest class GPUs. You will collaborate with product managers in shaping the vision, building the roadmaps, and delivering world-class products to improve the productivity of NVIDIA employees in various roles. We use NVIDIA’s own top-notch generative AI workflows, LLM models, speech recognition, avatars, and other technologies in our work. If you can envision the future of employee productivity powered by AI, join us, and make an inspiring impact!

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.

• 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.