NVIDIA—Senior Manager, Software Engineering - Employee Productivity

Job description

Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Manager, Software Engineering to lead the evolution of our AI-powered employee experiences across web, native mobile, and agentic interfaces. You will build and guide a high-performing engineering team responsible for products that help NVIDIA employees find information, get work done, and navigate personalized, intelligent journeys at global scale. This hands-on leadership role combines people development, product and technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: - Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products across web, native mobile, and agentic AI experiences. - Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive employee productivity platform serving a global workforce. - Partner with Product, Design, Data, HR, Security, Privacy, SRE, and enterprise technology teams to translate employee needs into clear priorities and measurable outcomes. - Plan and manage team execution, including project prioritization, capacity planning, milestone tracking, dependency management, and predictable delivery. - Provide hands-on technical leadership across web and mobile clients, cloud-native services, APIs, data platforms, and enterprise integrations through design reviews, code reviews, and targeted prototypes. - Drive the delivery of personalized search, knowledge, content, and workflow experiences powered by LLMs, retrieval-augmented generation, tool calling, and intelligent agents. - Establish practices for trustworthy agentic systems, including evaluations, observability, guardrails, identity and access controls, auditability, feedback loops, and human oversight. - Integrate HRIS, identity, collaboration, knowledge, and productivity platforms to create connected, automated employee journeys. - Raise the engineering bar for architecture, testing, documentation, CI/CD, maintainability, and developer productivity while guiding teams through complex technical tradeoffs. - Own the operational health of the team’s products and services, including reliability, performance, incident response, observability, capacity planning, and cost efficiency and ensure security, privacy, accessibility, and responsible AI principles are incorporated throughout product design and development. What we need to see: - BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience). - 12+ overall years of software engineering experience, including 6+ years leading and managing high-performing engineering teams. - A proven record of hiring, retaining, mentoring, and growing engineers, including senior and principal-level technical leaders. - Demonstrated success delivering consumer-grade web and/or native mobile products at enterprise scale. - Experience defining technical strategy and leading the architecture and delivery of distributed, full-stack software systems. - Strong understanding of applied AI technologies such as LLMs, agentic systems, search, recommendation, retrieval, or machine learning-powered product experiences. - Experience with modern web and mobile development, cloud infrastructure, containers, Kubernetes, APIs, CI/CD, relational and NoSQL data stores, and production observability. - Experience operating business-critical services with high standards for reliability, security, privacy, accessibility, and compliance. - Strong product judgment and a record of collaborating effectively with Product, Design, Security, Privacy, SRE, and business stakeholders. - Excellent written and verbal communication skills, with the ability to align engineers, cross-functional partners, and executives around a clear direction. Ways to stand out from the crowd: - Led the delivery of production generative AI or agentic products—such as copilots, RAG systems, conversational assistants, or autonomous workflows—to thousands of users. - Experience building evaluation frameworks, safety guardrails, feedback systems, and governance practices for enterprise AI products. - Shipped cohesive experiences spanning modern web frameworks and native iOS and/or Android applications. - Built platforms integrating HRIS, identity, collaboration, knowledge, and productivity ecosystems. - Successfully scaled engineering teams through rapid growth or significant technical and organizational change, or contributed to open-source AI, search, mobile, web, or developer-platform technologies. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!