Senior Software Engineer, Customer Data and Marketing AI

🔥 45 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $168k - $270.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

• 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.

🏖️ Benefits

• equity • benefits