英伟达Senior DGX Cloud AI Infrastructure Software Engineer
任职要求
• Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems. • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. • Proven track record in building and scaling large-scale distributed systems. • Experience with AI training and inferencing and data infrastructure services. • Familiar in operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). • Proficiency in programming languages such as Python, C/C++, script languages • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. Ways to stand out from the cro…
工作职责
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.
• Work with the DGX Cloud Lepton Marketplace team to establish integrations with NVIDIA Cloud Partners, enabling global developers to easily access GPU-optimized virtual machines. • You will craft and implement IaaS API integrations, collaborating with external engineering teams to ensure reliable, scalable, and consistent connectivity across diverse cloud environments. • Shape integration strategies, develop stateful workflow orchestration, and drive improvements in testing, observability, and automation to ensure high-quality, fault-tolerant solutions. • Be responsible for developing the two-sided marketplace, including the integration of compute providers and crafting discovery and bidding experiences to match supply with demand.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing. • Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems. • Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort. • Review product requirements and collaborate with cross-functional teams to define test requirements/strategies • Build test plan, design test case, execute and report test progress, bugs and results to management. • Perform Function, Performance, Fault Injection and reliability testing • Automate test cases and assist in the architecture, crafting and implementing of test frameworks. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • In-house repro and verify customer issues/fixes. • Leveraging AI-powered tools to automate repetitive testing tasks, optimize test coverage, and detect flaky tests
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing. • Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems. • Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort. • Review product requirements and collaborate with cross-functional teams to define test requirements/strategies • Build test plan, design test case, execute and report test progress, bugs and results to management. • Perform Function, Performance, Fault Injection and reliability testing • Automate test cases and assist in the architecture, crafting and implementing of test frameworks. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • In-house repro and verify customer issues/fixes. • Leveraging AI-powered tools to automate repetitive testing tasks, optimize test coverage, and detect flaky tests
NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are hiring Sr. Software Engineer who will help build simulators for our DGX Server platforms. Simulations play a significant role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW. What you’ll be doing: • Contribute to architect and develop simulation platform for next-gen NVIDIA DGX platforms. • Build, integrate and enhance simulator components with new HW features and write supporting technical documents. • Bring full SW stack up on DGX Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally. • Improve performance, fix bugs across user and kernel stack, and automate execution flow.