Senior Manager, Software Engineering - Employee Productivity
NVIDIA · Posted Sep 22
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where its GPU acts as the brains of computers, robots, and self-driving cars. The Employee Productivity team builds AI-powered employee experiences across web, native mobile, and agentic interfaces, helping NVIDIA employees find information, get work done, and navigate personalized, intelligent journeys at global scale. This hands-on Senior Manager, Software Engineering role combines people development, product and technical strategy, architecture, and end-to-end operational ownership of an employee productivity platform serving a global workforce.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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