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Urgent! Senior DGX Cloud AI Infrastructure Software Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
Joining NVIDIA's DGX Cloud AI Efficiency 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.
What we need to see:
+ 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 crowd:
+ Experience in working with the large scale AI cluster
+ Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL)
+ Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray
+ Experience and root cause analysis of failures and datacenter scale
+ Strong background in software design and development.
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.
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 (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 21, 2025.
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.
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Unlock Your Senior DGX Potential: Insight & Career Growth Guide
Real-time Senior DGX Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior DGX in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 183929 jobs in United States and 2195 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior DGX roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior DGX Cloud AI Infrastructure Software Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior DGX Cloud AI Infrastructure Software Engineer Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior DGX Cloud AI Infrastructure Software Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior DGX Cloud AI Infrastructure Software Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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