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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. 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, supportive 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 an outstanding Senior Platform Engineer to help build the platforms that power NVIDIA's customer data, digital marketing, personalization, and AI-enabled marketing workflows. In this role, you will develop scalable backend services, data platform integrations, and reusable platform capabilities for customer activation, consent-aware experiences, campaign operations, and marketing intelligence. What you'll be doing: Design, develop, and operate scalable backend services for customer profile, consent, personalization, campaign, and marketing platform capabilities. Build data-intensive services that integrate with document or NoSQL databases, relational databases, caching layers, search platforms, object storage, and messaging, pub-sub, or event-driven systems. Develop clean APIs, service-to-service integrations, authentication patterns, error handling, logging, caching, and reusable platform libraries. Contribute to customer data platform workflows, including audience activation, downstream system synchronization, campaign metadata, tracking, and data observability. Partner with marketing, product, analytics, data engineering, and AI platform teams to translate business needs into reliable technical solutions. Modernize existing platforms across database models, identity systems, profile services, consent workflows, and operational tooling. Apply AI-assisted engineering practices while maintaining strong ownership of architecture, testing, security, code quality, and production readiness. Improve reliability through observability, alerting, automation, anomaly detection, and practical incident prevention. What we need to see: BS in Computer Science, Engineering, or a related technical field, or equivalent experience. 8+ years of software engineering experience building backend services, APIs, data platforms, and production systems. Strong experience with one or more modern programming languages like Java, Python or Go, along with microservices architecture, and API design. Hands-on experience with document or NoSQL database design, indexing, migration patterns, performance tuning, and operational best practices. Experience with relational databases, SQL, distributed systems, cloud infrastructure, and containerized production environments. Experience building systems that move customer, behavioral, consent, campaign, or audience data across platforms with strong attention to data quality, governance, and reliability. Familiarity with caching, search, messaging, pub-sub, object storage, CI/CD, observability, and production operations. Experience using AI-assisted engineering workflows responsibly while maintaining ownership of design, correctness, testing, security, and production readiness. Self-motivated and collaborative, with the ability to own complex projects, drive progress independently, and communicate technical tradeoffs clearly across distributed teams. Ways to stand out from the crowd: Working knowledge of GDPR, PIPL, and related data privacy compliance and regulatory practices. Experience building or operating customer data platforms, identity resolution systems, customer 360/profile services, consent platforms, audience activation workflows, personalization engines, or marketing activation systems. Experience modernizing backend or data services that handle customer, audience, consent, or campaign data, including data model evolution, database migrations, and production cutovers. Strong understanding of reliable customer data activation, including data quality, governance, consent enforcement, synchronization, recovery, and downstream reconciliation. Experience applying AI or LLM-based systems to audience intelligence, personalization, campaign operations, content workflows, data discovery, or platform automation. NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. If you are creative, autonomous, AI-curious, and passionate about building reliable platforms at scale, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. #J-18808-Ljbffr