NVIDIA
Technology
SeniorManager,ITSoftwareEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager, IT Software Engineering at NVIDIA. Skills: AI Workflows, Process Optimization, Operational Excellence, Incident & Service Management, People Management, technical leadership, enterprise solutions, automation. lead and grow a team that delivers high-quality, scalable enterprise solutions. hands-on technical leader responsible for the end-to-end delivery of services and solutions”
What You'll Achieve.
ensure the workforce remains productive, secure, and technologically empowered; delivering AI workflows that improve operational efficiency; ensure delightful employee experience; optimize support processes; improve operational efficiency; improve efficiency
Industry & Context.
optimize support processes; improve operational efficiency; optimize support processes; improve efficiency
hands-on technical leader, lead a team of on-site and remote support engineers, own the end-to-end delivery of scalable enterprise solutions, uphold rigorous service levels
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field (or equivalent experience), 12+ overall years of experience in IT Engineering and IT Support, ideally within a multinational or high-growth technology environment, 6+ years in technical leadership, Deep expertise in Windows, macOS, and Linux environments, Mastery of enterprise tools such as ServiceNow, Jira, AI tools, Experience building software solutions and automation, Prior successful implementation of AI capabilities improving employee experience, Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar), Programming skills in Python, Go, or similar languages for automation and tooling, Foundational knowledge in networking concepts and site-based hardware management, Proven ability to build and scale technical teams from the ground up in fast-paced environments, Fluent verbal and written proficiency in Mandarin Chinese
Nice to Have
AI Workflows: Partner with the engineering and platform team to design, implement, and validate LLM-based agents, tool calling, RAG patterns, and orchestration frameworks to optimize support processes., Process Optimization: Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS., Operational Excellence: Oversee multi-platform support (Windows, macOS, Linux, iOS, and Android)., Incident & Service Management: Lead incident response and resolution in accordance with established processes., People Management: Lead, mentor, and grow the team of engineers responsible for the design, build, and operation of software and solutions., Plan and manage team execution, including project prioritization, milestone tracking, capacity planning, and ensuring on-time delivery.
What You'll Do.
lead and grow a team that delivers high-quality
scalable enterprise solutions
hands-on technical leader responsible for the end-to-end delivery of services and solutions
and validate LLM-based agents
and orchestration frameworks to optimize support processes
build robust integrations and automation pipelines across ServiceNow
own the full stack from infrastructure to user-facing tools
oversee multi-platform support (Windows
mentor the support team to deliver and operate the digital and physical services employees depend on
lead incident response and resolution in accordance with established processes
evaluate services using user feedback and industry best practices to improve efficiency
and grow the team of engineers responsible for the design
and operation of software and solutions
plan and manage team execution
including project prioritization
and ensuring on-time delivery
How You'll Work.
Team & Collaboration
Partner with the engineering and platform team; influence across engineering, product, and executive stakeholders
Communication Scope
Exceptional interpersonal, written, and verbal communication skills; Communication skills with the ability to influence across engineering, product, and executive stakeholders; ability to translate 'deep tech' into business value
Process & Methodology
project prioritization, milestone tracking, capacity planning, ensuring on-time delivery
Full Job Description
For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact. We are seeking a hands-on technical leader with a passion for cultivating a high-impact engineering team to support users and systems across the China production environment. This role will serve as the critical bridge between global IT strategies and regional execution, ensuring the workforce remains productive, secure, and technologically empowered while delivering AI workflows that improve operational efficiency. You will lead a team of on-site and remote support engineers, own the end-to-end delivery of scalable enterprise solutions, and uphold rigorous service levels. Exceptional interpersonal, written, and verbal communication skills are vital for success. **What You’ll Be Doing:** As the IT Software Engineering Manager, you will lead and grow a team that delivers high-quality, scalable enterprise solutions to ensure delightful employee experience. You will be a hands-on technical leader responsible for the end-to-end delivery of services and solutions across the core functions below. * AI Workflows: Partner with the engineering and platform team to design, implement, and validate LLM-based agents, tool calling, RAG patterns, and orchestration frameworks to optimize support processes. Push the boundaries of AI-assisted operations. * Process Optimization: Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise Saa
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