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 MLOps Engineer, GenAI Framework.
United States Jobs Expertini

Urgent! Senior MLOps Engineer, GenAI Framework Job Opening In Santa Clara – Now Hiring NVIDIA

Senior MLOps Engineer, GenAI Framework



Job description

NVIDIA is looking for a dedicated and motivated senior build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM (https://github.com/NVIDIA/Megatron-LM) and NeMo Framework (https://github.com/nvidia-nemo) ) team.

Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video Generation.

Megatron-LM and NeMo Framework provide end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience.

Building upon the latest DevOps tools, your work will enable GenAI framework software engineers, deep learning algorithm engineers, and research scientists to work efficiently with a wide variety of deep learning algorithms and software stacks as they vigilantly seek out opportunities for performance optimization and continuously deliver high quality software.


Does the idea of pushing the boundaries of innovative research and development excite you?

Are you interested in getting exposure to the entire DL SW stack?

Then join our technically diverse team of DL algorithm engineers and performance optimization specialists to unlock unprecedented deep learning performance in every domain.


What you’ll be doing:
+ Architect and manage the continuous integration pipelines and release processes of our Generative AI framework and libraries related to Megatron-LM (https://github.com/NVIDIA/Megatron-LM) and NeMo Framework (https://github.com/nvidia-nemo) .
+ Design and implement efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and maximum performance.
+ Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) in hybrid on-premise and cloud environments.
+ Assist with cluster operations and system administration (managing: servers, team accounts, clusters).
+ Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection.
+ Developing new quality control measures, e.g. code analysis, backwards compatibility, and regression testing, while employing and advancing best-practices.
+ Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and release related infrastructure.



What we need to see:
+ BS or MS degree in Computer Science, Computer Architecture or related technical field (or equivalent experience) and 6+ years of industry experience in DevOps and infrastructure engineering.
+ Strong system level programming in languages like Python and shell scripting.
+ Extensive understanding of build/release systems, CI/CD and experience with solutions like Gitlab, Github, Jenkins etc.
+ Experience with Linux system administration.
+ Proficient with containerization and cluster management technologies like Docker and Kubernetes.
+ Experience in build tools, including Make, Cmake.
+ A strong background in source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc.
+ Well-versed problem-solving and debugging skills.
+ Great teammate who can collaborate and influence others in a dynamic environment.
+ Excellent interpersonal and written communication skills.



Ways to stand out from the crowd:
+ Proven-track record with GPU accelerated systems at scale.
+ Well-versed in DL frameworks such as PyTorch, Jax, or TensorFlow.
+ Expertise in cluster and cloud compute technologies, e.g.: SLURM, Lustre, k8s
+ Software and hardware Benchmarking on high-performance computing systems.



#LI-Hybrid


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 August 18, 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 MLOps Potential: Insight & Career Growth Guide


  • Real-time Senior MLOps 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 MLOps 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 184637 jobs in United States and 2175 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior MLOps roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Senior MLOps Engineer, GenAI Framework Job?

    Great news! is currently hiring and seeking a Senior MLOps Engineer, GenAI Framework 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 MLOps Engineer, GenAI Framework 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 MLOps Engineer, GenAI Framework?

    Key qualifications for Senior MLOps Engineer, GenAI Framework 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 MLOps Engineer, GenAI Framework?

    To improve your chances of getting hired for Senior MLOps Engineer, GenAI Framework, 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 MLOps Engineer, GenAI Framework Job Success
    NVIDIA interview tips for Senior MLOps Engineer, GenAI Framework

    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 MLOps Engineer, GenAI Framework 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 MLOps Engineer, GenAI Framework Positions

    Setting up job alerts for Senior MLOps Engineer, GenAI Framework 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!