Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior DGX Cloud AI Infrastructure Software Engineer.
United States Jobs Expertini

Urgent! Senior DGX Cloud AI Infrastructure Software Engineer Job Opening In Santa Clara – Now Hiring NVIDIA

Senior DGX Cloud AI Infrastructure Software Engineer



Job description

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.




Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    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.

  • Are You Looking for Senior DGX Cloud AI Infrastructure Software Engineer Job?

    Great news! is currently hiring and seeking a Senior DGX Cloud AI Infrastructure Software Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    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:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Senior DGX Cloud AI Infrastructure Software Engineer Positions?

    The average salary range for a 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.

  • What Are the Key Qualifications for Senior DGX Cloud AI Infrastructure Software Engineer?

    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.

  • How Can I Improve My Chances of Getting Hired for Senior DGX Cloud AI Infrastructure Software Engineer?

    To improve your chances of getting hired for Senior DGX Cloud AI Infrastructure Software Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Senior DGX Cloud AI Infrastructure Software Engineer Job Success
    NVIDIA interview tips for Senior DGX Cloud AI Infrastructure Software Engineer

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the NVIDIA's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    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.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Senior DGX Cloud AI Infrastructure Software Engineer Positions

    Setting up job alerts for Senior DGX Cloud AI Infrastructure Software Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!