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Senior Network Software Engineer Job Opening In Santa Clara – Now Hiring NVIDIA


Job description

We are seeking a

senior network software engineer to join our team.

As a Senior Network Software Engineer, you will be instrumental in co-designing and implementing innovative solutions that power AI applications at an unprecedented scale.

Your expertise in network software architecture and high-performance interconnects will drive innovation and enable us to deliver platforms that redefine what is possible.

This is an exceptional opportunity to push the boundaries of technology and shape the future of AI and work with a world-class team of like-minded engineers.

What you will be doing:

  • Collaborate with multi-functional teams to analyze, co-design, and develop networking software and hardware for innovative AI platforms.

  • Drive the development of new networking algorithms and protocols for point-to-point and collective operations at scale.

  • Identify bottlenecks and inefficiencies in application code, proposing optimizations to enhance performance and network utilization.

  • Design and implement performance benchmarks and testing methodologies to evaluate performance at scale.

  • Provide guidance and recommendations for optimizing AI applications for speed, scalability, and resource efficiency.

  • Share knowledge with domain expert teams as they develop applications for the next generation of AI platforms.

  • Contribute to the development of tools and frameworks to facilitate network optimization.

What We Need to See​:

  • PhD in Computer Science, Computer Engineering, or related field, or equivalent experience 

  • 10+ years of experience with a focus on high-performance networking and AI applications

  • Expertise in RDMA networking (InfiniBand, ROCE), Ethernet, and PCIe.

  • Experience with at least one high-performance networking library: NCCL, UCX, libfabric, MPI, UCC.

  • Deep understanding of various aspects of high-performance networking, including network technologies, debugging, and performance analysis.

  • Experience in developing and optimizing deep learning frameworks such as PyTorch and TensorFlow.

  • Proficiency in Python and C/C++.

  • Experience in CUDA programming.

  • Track record of delivering performance improvements for software used in large-scale deployments.

  • Knowledge of Kubernetes (k8s) and cloud-native application principles is a plus.

  • Familiarity with continuous integration and delivery practices for performance optimization.

Ways To stand out from the crowd:

  • Hands-on experience in optimizing networking building blocks for DL frameworks like PyTorch and TensorFlow.

  • Experience in developing communication libraries such as NCCL, UCX, UCC, MPI.

  • In-depth knowledge of RDMA, GPU-Direct, and network technologies.

  • Provide references to your code contributions.

This is an exceptional opportunity to push the limits of state-of-the-art technology and contribute to the development of platforms the world has never seen before.

As part of NVIDIA, you'll work alongside top-tier talent in a collaborative environment that fosters innovation and creativity.

If you're passionate about shaping the future of AI and high-performance computing, apply now to embark on an exciting journey with us!

The base salary range is 220,000 USD - 419,750 USD.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and .

NVIDIA accepts applications on an ongoing basis.

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

Computer Occupations


  • Job Details

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Unlock Your Senior Network Potential: Insight & Career Growth Guide


Real-time Senior Network Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Network in Santa Clara, United States, highlighting market share and opportunities for professionals in Senior Network roles.

192558 Jobs in United States
192558
2249 Jobs in Santa Clara
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Download Senior Network Jobs Trends in Santa Clara and United States

Are You Looking for Senior Network Software Engineer Job?

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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. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Senior Network 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 Network Software Engineer?

Key qualifications for Senior Network Software Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Network Software Engineer?

To improve your chances of getting hired for Senior Network 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 Network Software Engineer Job Success

NVIDIA interview tips for Senior Network Software Engineer

Here are some tips to help you prepare for and ace your Senior Network Software Engineer 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 Network 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!

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