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Solutions Architect, Hyperscalers Job Opening In Munich – Now Hiring NVIDIA

Solutions Architect, Hyperscalers

    Germany Jobs Expertini Expertini › Germany › Jobs › Munich › Computer Occupations › Solutions Architect, Hyperscalers

Job description

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

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide


Real-time Solutions Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Solutions Architect in Munich, Germany, highlighting market share and opportunities for professionals in Solutions Architect roles.

7073 Jobs in Germany
7073
484 Jobs in Munich
484
Download Solutions Architect Jobs Trends in Munich and Germany

Are You Looking for Solutions Architect, Hyperscalers Job?

Great news! is currently hiring and seeking a Solutions Architect, 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for Solutions Architect, Hyperscalers Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Munich. 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.

What Are the Key Qualifications for Solutions Architect, Hyperscalers?

Key qualifications for Solutions Architect, Hyperscalers typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Solutions Architect, Hyperscalers Job Success

NVIDIA interview tips for Solutions Architect, Hyperscalers

Here are some tips to help you prepare for and ace your Solutions Architect, Hyperscalers job interview:

Before the Interview:

Research: Learn about the NVIDIA's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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