Urgent! Solutions Architect, AI Hyperscalers Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by extraordinary technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers.
Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale.
You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments.
If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply!
What you’ll be doing:
+ As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
+ Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
+ Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy.
Translate these insights into product requirements and innovative solutions.
+ Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements.
+ Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks.
+ Lead workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI/ML capabilities.
+ Guide customers on standard processes for scalable AI model deployment and inference optimization.
What we need to see:
+ Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
+ At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
+ Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
+ Strong understanding of data science and machine learning infrastructure—software and hardware.
+ Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations.
+ Excellent follow-up and interpersonal skills, with a true passion for problem-solving.
+ Proficient in Python, with the ability to develop scripts and build custom tools.
Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
+ Shown eagerness to learn and apply new technologies.
Ways to stand out from the crowd:
+ Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
+ Experience or background in HPC (High Performance Computing) environments for AI or ML applications.
+ Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
+ Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes
+ Experience with common deep learning frameworks such as PyTorch or JAX.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
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 July 29, 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.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Solutions Architect Potential: Insight & Career Growth Guide
Real-time Solutions 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 Solutions 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 38744 jobs in United States and 444 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Solutions 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 Solutions Architect, AI Hyperscalers to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Solutions Architect, AI Hyperscalers 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 Solutions Architect, AI Hyperscalers 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 Solutions Architect, AI Hyperscalers 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.
To improve your chances of getting hired for Solutions Architect, AI Hyperscalers, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring 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.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Solutions Architect, AI Hyperscalers 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!
Setting up job alerts for Solutions Architect, AI Hyperscalers 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!