商汤LLM Application Development Lead
任职要求
• Must be based in Riyadh; remote work is not supported. • 8+ years of software development experience, including 2+ years in dev lead roles. Proficient in one or more backend programming languages such as Python, Go, or Java. • Bachelor’s or Master’s degree in Computer Science, or a closely related field. • English communication skills (spoken and written) are required. • Strong experience in architecting and delivering complex backend systems in production environments. • Solid understanding of system design, microservices architecture, middleware selection (e.g., Kafka, Redis), and distributed system principles. • Hands-on experience with database schema design (SQL and NoSQL), concurrency models, and large-scale API integration. • Demonstrated ability to balance product requirements, technical feasibility, and long-term maintainability.
工作职责
• Lead the architecture, design, and development of intelligent agent systems that integrate LLMs with real-world applications. • Drive full-stack engineering implementation, including backend services, API integration, database design, and task orchestration. • Select and optimize system components such as message queues, middleware, vector databases, and caching frameworks to meet performance and scalability targets. • Work closely with product and research teams to translate AI agent logic (e.g., tool-use, planning, reasoning) into robust, production-grade systems. • Take ownership of system performance tuning, including concurrency handling, throughput optimization, and service reliability. • Guide the team through best practices in code quality, CI/CD pipelines, and system observability. • Build and lead a team of engineers to deliver high-quality agent-driven applications from prototype to deployment.
• Participate in the development of cutting-edge applications powered by Large Language Models (LLMs), contributing to code implementation, optimization, and debugging. • Collaborate with senior developers and product teams to understand user requirements and transform them into functional code modules. • Design, develop, and maintain LLM models within the team’s proprietary LLM framework. • Implement prompt engineering techniques, context management, and advanced model interaction as part of LLM application development. • Continuously learn and stay updated with the latest developments in LLM technologies, algorithms, and programming best practices. • Participate in code reviews, peer programming sessions, and technical discussions, growing your development skills. • Take part in technical problem-solving, performance optimization, and system debugging under the guidance of senior engineers.
• Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects. • Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers. • Deeply understand AI4S, AI teaching, Agentic AI, Physical AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress. • Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. • Drive early adoption of new products and support launch and go-to-market activities. • Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities. • We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with industry sales, developer relationship managers and product teams in the hiring position. What you’ll be doing: • Assist in supporting industry accounts and driving research/influencing/new business in those accounts. • Assist researchers/engineers on their GPU applications. • Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team. • Provide technical support for GPU system deployments. • Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications. • Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.
Joining NVIDIA's DGX Cloud Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems.As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: • Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure. • Develop and optimize tools to improve infrastructure efficiency and resiliency. • Root cause and analyze and triage failures from the application level to the hardware level • Enhance infrastructure and products underpinning NVIDIA's AI platforms. • Co-design and implement APIs for integration with NVIDIA's resiliency stacks. • Define meaningful and actionable reliability metrics to track and improve system and service reliability. • Skilled in problem-solving, root cause analysis, and optimization.