Hybrid Senior Full-Stack Software Engineer

at NVIDIA

• Job title: Senior Full-Stack Software Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $168,000 - $264,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Cloud, Docker, GRPC, JavaScript, Jenkins, Kubernetes, Python, React, SQL, TypeScript, Vue.js, Go
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Senior Full-Stack Software Engineer developing a platform for configuring autonomous driving scenarios. Focusing on scalable web services and cloud deployment practices.

Responsibilities

• Lead the hands-on development of the platform's user interface
• Build, develop, and deliver high-quality, full-stack features from concept through deployment
• Write clean, performant, and maintainable production code for both frontend interfaces and distributed backend services
• Implement and manage integrations with core APIs (gRPC and REST) and data infrastructure
• Help maintain and improve CI/CD pipelines in GitLab and Jenkins
• Support the deployment and upkeep of containerized services managed by Docker and Kubernetes/Helm
• Actively participate in the code review process
• Identify, debug, and resolve complex technical issues, performance bottlenecks, and operational incidents
• Work closely with the Tech Lead and multi-functional teams (ML Engineers, Product Managers)

Requirements

• Master's degree (M.S.), or a Bachelor's degree (B.S.) in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field (or equivalent experience)
• Minimum 10+ years of hands-on experience developing and deploying scalable full-stack web services in a production cloud environment
• Deep expertise and proven track record in a modern frontend framework (e.g., React, Vue, Angular)
• Mastery of TypeScript and JavaScript for robust client-side development and state management architecture
• Proven proficiency in developing backend systems that handle high volume and growth using Python and/or Go
• Hands-on experience implementing and consuming APIs built with Protocol Buffers
• Solid practical experience with containerization using Docker and exposure to orchestration tools like Kubernetes and Helm
• Experience with cloud services, particularly AWS S3, and familiarity with SQL for data management
• Demonstrated knowledge of CI/CD practices along with experience using source control platforms like GitLab
• Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints

Benefits

• eligible for equity
• benefits