Joining NVIDIAs DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads - pre-training, post-training, inference. 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. Youll 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, diverse, 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!
Responsibilities:
• Develop infrastructure software and tools for large-scale pre-training, post-training, and inference. • Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency. • Co-design and implement APIs for integration with NVIDIAs resiliency stacks. • Enhance infrastructure and products underpinning NVIDIAs AI platforms. • Define meaningful and actionable reliability metrics to track and improve system and service reliability.
Requirements:
• Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems. • Bachelors 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. • Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). • Proven track record in building and scaling large-scale distributed systems. • Experience with AI training and inferencing infrastructure services. • Proficiency in programming languages such as Python, C/C++, script languages. • Experience in quality software engineering practices, including test development, defensive programming, version control, and CI. • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.
Ways to stand out from the crowd:
• Background in working with the large scale clusters. • Experience in defining and building observability and telemetry software stack. • Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics). • Experience and root cause analysis of failures and datacenter scale. • Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray.
About NVIDIA:
NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.
Compensation:
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Application Information:
Applications for this job will be accepted at least until February 6, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Visualize your future . . . We Do
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.