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- Tasks: Design systems, engage with partners, and drive AI initiatives in a fast-paced environment.
- Company: Join NVIDIA, a leader in AI and accelerated computing, shaping the future of technology.
- Benefits: Enjoy competitive salaries, extensive benefits, and a diverse, inclusive work culture.
- Why this job: Be at the forefront of AI breakthroughs while collaborating with top tech professionals.
- Qualifications: MS/PhD in relevant fields with 5+ years of experience in datacenter design and networking.
- Other info: Ideal for those passionate about AI and eager to tackle complex technical challenges.
The predicted salary is between 60000 - 84000 £ per year.
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NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with strong expertise in datacenter design, networking topology, system architecture and software infrastructure deployments to work with our NVIDIA Cloud Partners (NCP). In our Solutions Architecture team, we work with the most exciting platform for accelerated computing to serve 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 who can maintain alignment in a fast paced and constantly evolving field.
As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our NCP partners and our end-customers. Your duties will vary from designing new systems, working on proof-of-concept demonstrations, to driving relationships with key technical executives and engineers to promote 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
- Engage with NCP to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions.
- Identify and pursue new opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams.
- Serve as a technical specialist for GPU and networking products, collaborating closely with account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts.
- Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions.
- Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests.
- Lead technical project aspects of complex data center deployments, including design-win opportunities and engaging with our partners in RFP/RFI proposals.
What We Need To See
- MS/PhD or similar in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 5 years work or research experience in networking fundamentals, TCP/IP stack, and data center designs.
- Ideal candidate possesses 5+ years of Solution Architect experience, demonstrating motivation and skills to drive the technical pre-sales process.
- Deep expertise in datacenter engineering (mechanical, electrical and plumbing), GPU systems, high performance networking (like InfiniBand), including a proven understanding of network topologies and storage architecture.
- Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure software solutions.
- Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.
- Familiarity with cloud-native technologies and their integration with traditional infrastructure is critical.
Ways To Stand Out From The Crowd
- Knowledge in InfiniBand and Artificial Intelligence infrastructure.
- Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments.
- Large scale systems management experience.
- Experience with Python programming and AI workflow development and deployment (training/inference) would be helpful.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
JR1998402
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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Solutions Architect, NCP employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect, NCP
✨Tip Number 1
Familiarise yourself with NVIDIA's products and technologies, especially those related to AI and datacentres. Understanding their offerings will help you engage more effectively with potential partners and customers during discussions.
✨Tip Number 2
Network with professionals in the field of Solutions Architecture and AI. Attend industry events or webinars where NVIDIA representatives might be present, as this can provide valuable insights and connections that could benefit your application.
✨Tip Number 3
Prepare to demonstrate your technical presentation skills. Consider creating a mock presentation on a relevant topic, showcasing your ability to communicate complex ideas clearly and effectively, which is crucial for the role.
✨Tip Number 4
Stay updated on the latest trends in cloud computing and AI technologies. Being knowledgeable about current advancements will not only enhance your conversations but also show your commitment to the field and your readiness to contribute to NVIDIA's goals.
We think you need these skills to ace Solutions Architect, NCP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in datacenter design, networking topology, and system architecture. Use specific examples that demonstrate your expertise in these areas, especially any work related to AI and cloud solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for artificial intelligence and how your background aligns with NVIDIA's mission. Mention specific projects or experiences that showcase your ability to engage with technical teams and drive initiatives.
Highlight Technical Skills: Clearly list your technical skills relevant to the role, such as proficiency in GPU systems, cloud orchestration software, and programming languages like C/C++ and Python. Be sure to include any hands-on experience with NVIDIA technologies.
Showcase Problem-Solving Abilities: Provide examples of how you've approached complex problems in previous roles. Discuss your logical approach to problem-solving and effective time management, particularly in high-pressure environments.
How to prepare for a job interview at Nvidia
✨Showcase Your Technical Expertise
As a Solutions Architect, you'll need to demonstrate your deep understanding of datacentre design and networking topologies. Be prepared to discuss specific projects where you've applied your knowledge, especially in GPU systems and high-performance networking.
✨Engage with Real-World Scenarios
During the interview, expect to tackle real-world problems that NVIDIA faces. Prepare by thinking through potential solutions for common challenges in AI and cloud solutions, and be ready to present your thought process clearly.
✨Highlight Collaboration Skills
This role requires working closely with various teams, including Engineering and Sales. Share examples of how you've successfully collaborated with cross-functional teams in the past, focusing on your ability to drive initiatives and cultivate relationships.
✨Prepare for Technical Presentations
Strong presentation skills are crucial for this position. Practice explaining complex technical concepts in a simple manner, as you may need to present proofs-of-concept or new technology solutions to both technical and non-technical stakeholders.
