Urgent! Solutions Architect, Hyperscalers Job Opening In Courbevoie – Now Hiring NVIDIA
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science applications to work with our Hyperscalers partners.
In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence.
We need individuals who can enable customer and partner productivity.
Our goal is to develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions.
We are looking for someone always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field.
You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology.
As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers.
Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI.
Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions.
What You’ll Be Doing:
Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers
Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products
Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform.
This includes support in optimization of both training and inference pipelines
Partner with Engineering, Product and Sales teams to understand developer’s challenges and plan for the best suitable solutions.
Enable development and growth of product features through customer feedback and proof-of-concept evaluations
Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures
What We Need to See:
MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields
3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science
You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)
Excellent ability to listen, both verbal and written communication skills, and being comfortable with presenting technical solutions in English
Expertise in deploying large-scale training and inferencing pipeline on Hyperscaler’s infrastructure
You are a self-starter with interest in growth, passion for continuous learning and sharing findings across the team
Ways to Stand Out from The Crowd:
Experience running and optimizing large scale distributed DL training
Expertise in optimizing inference pipeline, using a range of inferencing technics (e.g., understanding of model compression techniques, model compilation or model serving)
Background with working with larger transformer-based architectures
Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.
Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience
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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide
Real-time Solutions Architect Jobs Trends in Courbevoie, France (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 Courbevoie, France 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 1198 jobs in France and 42 jobs in Courbevoie. 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, Hyperscalers 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, Hyperscalers Jobs France varies, but the pay scale is rated "Standard" in Courbevoie. 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, Hyperscalers typically include Computer Occupations 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, 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.
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