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Urgent! Principal Architect, AI Networking Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
We're tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world!
As a Software Architect for AI Networking you will part of a groundbreaking team driving technological innovation! This is an outstanding opportunity to craft the future of AI networking by using cutting-edge technologies to address sophisticated challenges.
We work in a highly dynamic environment where your contributions will significantly influence AI infrastructure.
What you'll be doing:
+ Work on accelerating NVIDIA Dynamo - KV cache management and large-scale inference.
+ Developing and researching groundbreaking networking technologies to advance and scale AI networks.
+ Co-designing software and hardware networking solutions across various networking related domains, from network transports to AI frameworks.
+ Working closely with NVIDIA's hardware architecture, software architecture, and research teams to build innovative networking hardware and software solutions.
+ Leading the development of prototypes that optimize AI training and inference infrastructure.
What we need to see:
+ Master's or Ph.D. in Computer Science, Electrical or Computer Engineering from a top-tier university (or related field) (or equivalent experience).
+ 12+ years of relevant academic or proven experience in the field.
+ Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure.
+ Strong proficiency in Machine Learning/Deep Learning fundamentals, inference runtimes, and Deep Learning frameworks.
+ Skilled in C or C++ for systems software development; familiarity with Rust is helpful.
+ Curiosity for building leading edge technology.
+ Ability to work and communicate effectively across diverse teams with varying expertise and time zones.
Ways to stand out from the crowd:
+ Proven research track record
+ Experience in LLM inference, AI network and storage needs.
+ Background in storage and storage optimization: file systems, object store, caches, coherency.
+ Stellar communication skills.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com/
#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 272,000 USD - 425,500 USD.
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 October 25, 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 Principal Architect Potential: Insight & Career Growth Guide
Real-time Principal Architect 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 Principal Architect 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 41236 jobs in United States and 885 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Principal Architect 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 Principal Architect, AI Networking to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Principal Architect, AI Networking Jobs Santa Clara.
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 Principal Architect, AI Networking 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 Principal Architect, AI Networking 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Principal Architect, AI Networking 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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