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Urgent! Solutions Architect, Generative AI Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Generative AI.
In this role, you will lead by example, acting as both a strategic technical expert and a hands-on developer.
You will directly build innovative proof-of-concept solutions and reference architectures for innovative AI applications, demonstrating the full power of the NVIDIA accelerated Generative AI platforms.
By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Triton.
The Generative AI Partners Enablement SA team is dedicated to applying next-generation technologies to solve customer problems.
We act as trusted advisors and technical partners to our ecosystem.
As a member of NPN Generative AI Solution Architecture team, 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 by applying accelerated computing AI and solve category defining systems and production grade AI solutions at scale.
What you will be doing:
+ Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions.
Maintain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms.
+ Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to productions.
+ Define the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring they are built on standardized and reproducible GPU-accelerated workflows.
+ Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact customer workloads.
You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products.
+ Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
What we need to see:
+ MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
+ 5+ years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or deep learning engineer.
+ Consistent track record of building enterprise-grade agentic AI systems using open-source models and solid foundation in deep learning, with a particular emphasis on generative models.
+ Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms.
Comfortable building prototypes or proofs of concept
+ Strong coding development and proficiency in Python, C++ and Deep Learning frameworks (PyTorch, or TensorFlow).
+ Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers.
Ways to stand out from the crowd:
+ Demonstrate expertise and hands-on experience with NVIDIA AI platforms.
+ Understanding of different advanced agent architectures and emerging communication protocols (MCP or Google A2A).
+ Excellent practical knowledge of Generative AI and LLM development.
Ability to train GPT and Megatron Models.
+ Understanding of MLOps life cycle management and experience with LLMOps workflows.
+ Experience with CUDA programming and benchmarking and analyzing performance foundation models.
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.
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 14, 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 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 38732 jobs in United States and 443 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, Generative AI to join their team. Feel free to download the job details.
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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, Generative AI 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, Generative AI 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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Before the Interview:To prepare for your Solutions Architect, Generative AI 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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