• Designing and developing software for testing and analysis of our codebases • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries • Developing throughout the software stack, from the user experience down to the cluster and database layers • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Github, Gitlab, Jira, etc) • Advancing state of the art in those industry-standard tools

• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance • Performance analysis, optimization and tuning • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM • Provide feedback into the architecture and hardware design and development • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams • Publish key results in scientific conferences

• Based on understanding a product feature, determine the best manufacturing stage for testing GPU/CPU hardware features. This could be ATE, socketed or board-level system test, rack-level test, or pod/cluster-level test, as needed. • Create new tests or test conditions based on an understanding of hardware features or learnings from customer returns or gaps in internal manufacturing stages. • Perform or automate test runs, analyze and visualize data to ensure a high-quality test, and guide debug for yield or escape issues. • Partner with test engineering and operations teams to implementing efficient manufacturable test solutions

• Program Leadership and Execution: Own the planning, development, and management of project schedules and deliverables. Ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule. • Design and Scope Management: Actively participate in crucial design reviews. Efficiently handle scope changes to minimize impacts on project timelines and outcomes. • Multi-functional Collaboration: Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on project achievements and go-to-market strategies. • Risk Management: Proactively identify risks and dependencies, develop mitigation strategies, and advance issues to leadership as vital. • Communication: Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making. • Continuous Improvement: Leverage insights and standard processes from completed programs to drive continuous improvement in processes and outcomes for future projects. • Continually improve processes, optimize workflow, and maintain the highest quality levels.

Are you a person who loves to work in a fast paced organization? We are now looking for a Senior Account Manager! NVIDIA is facing a rapid growth demand of L2 – L4 autonomous driving in China. We are looking for a senior account manager to cover major auto OEMs. This account manager will work with the team to bring NVIDIA leading edge technologies and solutions to customers. What you’ll be doing: • Overall owner of NVIDIA Automotive OEM Sales in China, chasing design-wins, driving growth initiatives, market share penetration, and solutions-based upsell strategies • Evangelize NVIDIA autonomous driving solutions and bring NVIDIA's core value to auto OEMs and related Tier 1s • Develop and maintain strong customer relationships that involve building relationships at the management level and expanding relationships in customer organization. • Build strategic, effective and actionable account plans that define a clear growth strategy across and within the accounts you will cover • Ensure that teams are well-orchestrated and leveraged around accounts and opportunities, by communicating the strategy for each account, handing off opportunities to team members to allow them to effectively identify and develop opportunities and providing feedback as needed

NVIDIA Networking has been a leader in high performance networking infrastructure for many years. The next unit of computing is the datacenter, and the network makes it all possible. NVIDIA is looking to grow its networking architecture team with people passionate about accelerated computing. We are looking for you, a Senior Networking Architect, to develop the next generation of network for AI. If you love researching new technologies, we'd love to hear from you!  What you’ll be doing: • The position includes an active part in research and development of networking solutions to enable the next generation of accelerated data centers. • The position spans over various layers from ASIC archtecture to algorithms, topologies and systems, and more. • Partner with internal teams, strategic customers and partners, standard bodies and networking communities to initiate and develop groundbreaking networking solutions for AI!

• Working on backend and frontend design and development of web applications. • Collecting requirements and provide consultation to end users about their needs and use cases. • Analyzing performance bottlenecks. • Supporting and maintaining large scale data platform with high QoS. • Building infrastructure and microservices for various big-data scenarios.

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.