Senior Software Engineer, Customer Data and Marketing AI

About the role

NVIDIA is seeking a Senior Platform Engineer to join our team. This position will focus on developing scalable backend services, data platform integrations, and reusable platform capabilities for customer activation, consent-aware experiences, campaign operations, and marketing intelligence.

Responsibilities

• 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.

Requirements

• Bachelor's degree 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.

Qualifications

• 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.

Skills

• Experience with AI-assisted engineering practices.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple projects.
• Knowledge of cloud platforms and infrastructure.
• Experience with version control systems.

Benefits

NVIDIA offers a comprehensive benefits package including health insurance, retirement plans, paid time off, and more. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

Pay

The base salary range for this role is $168,000 - $270,250 USD.

Schedule

This is a full-time position.