• Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8) • Apply sophisticated quantization of DNNs • Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs • Continuously improve inference speed, accuracy and power consumption of DNNs • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.

• Develop and maintain scalable backend services and APIs that power Activation, Referral, and Reactivation experiences across mobile and web. • Build and iterate on user-facing experiences using a Server-Driven UI (SDUI) and BFF architecture, owning features from backend through frontend delivery. • Partner closely with Product, Design, and Mobile/Web engineers to deliver high-quality, end-to-end features that impact user activation and retention. • Optimize database queries, caching strategies, and API performance to support high-traffic, customer-facing flows. • Improve monitoring, observability, and logging to ensure reliability and fast issue detection. • Participate in code reviews, technical discussions, and architectural decisions, contributing to shared engineering standards and best practices

• Build products focusing on iOS and Android mobile applications • Engage with the Product team to deliver user-friendly features • Mentor other developers in good development practices for clean code and reliable software • Maintain robust CI/CD tooling, processes, testing and procedures

• Break down large or complex problems into smaller parts, design clean solutions, and implement the core framework. • Build and maintain RESTful APIs and backend services using C#, .NET Core, Entity Framework, and Web API. • Apply software architecture patterns like Domain-Driven Design (DDD) and CQRS to build modular and scalable systems. • Work directly with SQL Server—designing databases, writing stored procedures, optimizing queries, and tuning performance. • Use Entity Framework (EF Core or EF6) for ORM and data access. • Write clean, testable, and maintainable code with proper documentation. • Take full ownership of testing your own code—unit, integration, and performance testing—as part of a Shift Left / No QA team setup. • Collaborate with product managers and other teams to understand requirements and deliver customer-focused features. • Use AI development tools (required)—including GitHub Copilot, Claude, or similar—to assist with code generation, refactoring, documentation, and development speed.