Senior Manager, Software Engineering - Employee Productivity

Overview

• 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 e nsure 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!.