• Design, develop, and maintain backend services and APIs using .NET Core, C#. • Build responsive, modular migration features using oDATA API. • Own end-to-end delivery: requirements analysis, development, code reviews, unit testing, deployment, and production support. • Design and optimize database models, queries, indexes, and stored procedures to ensure performance and reliability. • Build and deploy cloud-native applications on AWS, applying best practices for scalability, cost, and security. • Implement CI/CD pipelines using GitHub Actions and automate deployments in collaboration with DevOps. • Troubleshoot production issues, perform root-cause analysis, and drive preventive improvements. • Mentor junior engineers and contribute to engineering standards, reusable components, and architectural decisions.

• Build & Integrate: Develop scalable backend APIs and partner system integrations using C#/.NET. • Optimize Systems: Improve performance, reliability, and scalability for fulfillment and logistics applications. • Collaborate Globally: Work with U.S. and China-based teams to align requirements and deliver high-quality solutions. • Own Delivery: Translate product requirements into technical design, write clean and testable code, and ensure system reliability in production. • Leverage AI: Use tools like Cursor, Claude Code, and ChatGPT to enhance productivity and documentation.

• Join Our Team • Collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. • Take ownership across the full stack and contribute directly to architecture, performance, and product evolution. • Participate in technical decision-making and architecture discussions. • Deliver clean, maintainable, and efficient code. • Collaborate with cross-functional teams in a fast-paced environment.

• Build and drive the technical integration of our GenAI offerings across a focused set of ISV and CSP Platforms, collaborating closely with their Platform Architects. • Define technical objectives, timelines, and product adoption strategy, aligning with each partner’s long-term business objectives. • Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc.) as well as vLLM, LangChain, vector DBs, MCP, A2A, and related technologies, deployed across major CSP platforms such as AWS, Azure, GCP, etc. • Own the technical product engagement. • Drive regular meetings, progress tracking, adoption status, and internal reporting consistent with NVIDIA's culture. • You will work closely with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations to achieve the most efficient solution. • Develop understanding across all stages of GenAI lifecycle with depth in select areas such as Data Curation, LLM Pre-training, Finetuning such as PEFT, SFT, post-training, Reasoning, RAG, Multi-agent workflows and LLM Inference for production deployments. • Represent Partner needs and architecture design to Product and Engineering teams. • Contribute to Product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns, captured from ISV engagements. • Develop expertise in GenAI Platform Architecture and keep up to date with the latest in the industry and NVIDIA libraries, models, and frameworks to best support the partner Platform teams.