AMDSenior AI Software Engineer
任职要求
You are a strong technical contributor with experience in AI tools, frameworks, and models. You excel as part of a team where customer communication and team skills are highly valued. KEY RESPONSIBILITIES: Co-develop Physical AI solutions with customers, including prototyping, validation, and deployment of AMD products in customer environments. Support POCs, pilots, and solution rollouts by providing technical guidance, hands-on assistance, and demonstrations at industry events. Deliver technical consultation on system integration, deployment architectures, and performance tuning. Produce technical documentation and test reports, and deliver training to internal teams and customers. Collaborate with cross-functional teams to ensure solution quality and an exceptional user experience. REQUIRED EXPERIENCE: At least 5 years' experience in e…工作职责
THE ORGANIZATION: The Physical AI and Vertical Software & Solutions (PAVS) organization is dedicated to accelerating the adoption of Physical AI across robotics, industrial, and automotive markets. PAVS delivers best-in-class vertical software and co-engineered solutions that shorten design cycles for lighthouse customers while improving solution quality and user experience. THE ROLE: This position offers an exciting opportunity to work on the cutting edge of Physical AI solutions. You will contribute to AI architecture, design, performance optimization, and other technical aspects of AMD products. The team culture provides opportunities to work with a global team, gain hands‑on experience, and build a professional network through cross‑functional collaboration.
• Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. • Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
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.
