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Urgent! Senior Solutions Architect, Generative AI Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role.
Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies.
We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge.
Join us in this exciting endeavor!
What you’ll be doing:
+ Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.
+ Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.
+ Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.
+ Partnering with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.
What we need to see:
+ BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience.
+ 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.
+ Experience with profiling and optimizing model training/inference performance on GPUs.
+ Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.
+ Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.
+ A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.
+ Self-starter with a passion for growth, continuous learning, and sharing insights with the team.
Ways to stand out from the crowd:
+ Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL).
+ Experience working with enterprise developers and strong customer-facing skills.
+ Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.
+ Experience with large-scale production data pipelines and AI model training/deployment.
+ Creative problem-solving skills for debugging and resolving complex issues.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences.
We are open to remote work.
We look forward to having you join our team!
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: www.nvidiabenefits.com/
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.
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 Senior Solutions Potential: Insight & Career Growth Guide
Real-time Senior Solutions 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 Solutions 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 199206 jobs in United States and 2332 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Solutions 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 Senior Solutions Architect, Generative AI to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Solutions Architect, Generative AI 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 Senior 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 Senior 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 Senior 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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