Manager, IT Software Engineering at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, AI Workflows, LLM, RAG, Python, Go, ServiceNow, Infrastructure Automation, Incident Management, People Management, Windows, MacOS, Linux, Observability Tools, Mandarin Chinese, Enterprise SaaS

Industry

Computer Hardware Manufacturing

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 SaaS. Own the full stack from infrastructure to user-facing tools. Operational Excellence: Oversee multi-platform support (Windows, macOS, Linux, iOS, and Android). Mentor the support team to deliver and operate the digital and physical services employees depend on, including hardware/software, access, onboarding, offboarding, site support, and enterprise applications. Incident & Service Management: Lead incident response and resolution in accordance with established processes. Evaluate services using user feedback and industry best practices to improve efficiency. 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 We Need To See Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field (or equivalent experience)。 10+ overall years of experience in IT Engineering and IT Support, ideally within a multinational or high-growth technology environment, including 4+ years in technical leadership. Deep expertise in Windows, macOS, and Linux environments, alongside mastery of enterprise tools such as ServiceNow, Jira, AI tools, and 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). Strong 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 Communication skills with the ability to influence across engineering, product, and executive stakeholders, and the ability to translate "deep tech" into business value. 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! NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Lead and grow a technical engineering team to deliver scalable enterprise solutions and AI-driven workflows for the China production environment. Oversee multi-platform support, process optimization, and incident management to ensure operational excellence.