NVIDIA is seeking a Senior Software Engineer to deliver hands-on engineering work for China digital marketing platforms across frontend, backend, APIs, connected systems, data workflows, and AI-powered automation. This role focuses on building reliable, testable, and maintainable features, tools, and integrations from technical design through implementation, release, and production support.
What you’ll be doing
Build and maintain full-stack capabilities for NVIDIA.cn, campaign pages, registration flows, forms, microservice APIs, and China-specific digital marketing integrations.
Develop reliable data sync workflows across platform APIs, scripts, marketing databases, CDP/segmentation flows, email/SMS activation, and analytics tagging.
Support keynote and event experiences, including video delivery workflows, onsite check-in tools, QA readiness, troubleshooting, and production support.
Translate marketing, compliance, and operations requirements into clear technical designs, sequence flows, data flows, tasks, risks, and testable acceptance criteria.
Strengthen code quality, security, reliability, and maintainability through debugging, code review, access-control awareness, CI/CD, logging, and regression coverage.
Use AI-assisted development and automation to improve content validation, QA efficiency, ticket workflows, paid-search operations, and team productivity.
What we need to see
Working proficiency in English. Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience, with 8+ years of relevant software engineering experience.
Hands-on full-stack development with frontend frameworks, backend services, REST APIs, OIDC/RBAC concepts, databases, scripts, and platform integrations.
Experience building or supporting data synchronization, API-driven workflows, data cleaning, integrity testing, performance checks, and production debugging.
Ability to turn ambiguous requirements into practical technical designs, sequence diagrams, tasks, estimates, blockers, and release-ready execution plans.
Clear communication across marketing, QA, operations, vendors, and global engineering partners.
Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges under pressure.
Strong awareness of China data privacy, data security, access control, credential handling, code security review.
Ways to stand out from the crowd
Experience with marketing data architecture or data quality monitoring.
Experience with China digital marketing ecosystems, marketing automation, analytics tagging, or customer journey tracking.
Experience with video streaming workflows, keynote support, or onsite check-in tooling.
Skill with AI coding tools, LLM APIs, RAG, agents, MCP, QA automation, or workflow orchestration for marketing and operations productivity.
If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills Required
- Working proficiency in English
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience, with 8+ years of relevant software engineering experience
- Hands-on full-stack development with frontend frameworks, backend services, REST APIs, OIDC/RBAC concepts, databases, scripts, and platform integrations
- Experience building or supporting data synchronization, API-driven workflows, data cleaning, integrity testing, performance checks, and production debugging
- Ability to translate ambiguous requirements into technical designs, sequence/data flows, tasks, estimates, blockers, and release-ready plans
- Clear communication across marketing, QA, operations, vendors, and global engineering partners
- Demonstrated meticulous problem-solving and strong analytical skills for diagnosing and resolving complex technical challenges under pressure
- Strong awareness of China data privacy, data security, access control, credential handling, and code security review
- Experience with marketing data architecture or data quality monitoring
- Experience with China digital marketing ecosystems, marketing automation, analytics tagging, or customer journey tracking
- Experience with video streaming workflows, keynote support, or onsite check-in tooling
- Familiarity with AI coding tools, LLM APIs, RAG, agents, MCP, QA automation, or workflow orchestration for marketing productivity
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
