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For Companies At a Glance
- Tasks: Guide customers in adopting NVIDIA's AI solutions and solve complex problems.
- Company: Join NVIDIA, a leading tech company known for innovation and excellence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Be part of groundbreaking AI projects and make a real impact in technology.
- Qualifications: MS or PhD in relevant fields with experience in AI and HPC clusters.
- Other info: Collaborative culture with a focus on creativity and problem-solving.
The predicted salary is between 48000 - 72000 £ per year.
What you’ll be doing
Our day-to-day work involves guiding customers in their adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions. Don't think this is a high-level slideshow job - we are the voice of experience, using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories. We also excel at sharing knowledge with others, whether it’s delivering demos, assisting with proof‑of‑concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacentre. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!
What we need to see
- MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
- Established track record working with AI and HPC clusters, both on‑premises and cloud based.
- 4 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
- Hands‑on experience with Datacentre MEP, network, storage, cluster configuration and debugging.
- Strong analytical and problem‑solving skills, along with an ability to articulate what you know to others.
- Ability to multitask efficiently in a dynamic environment.
Ways to stand out from the crowd
- Strong coding and debugging skills, including experience with CUDA, Python, C/C++, Bash, AI frameworks and Linux utilities.
- Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high‑performance clusters and hybrid cloud solutions.
- Exhibit hands on experience with NVIDIA Enterprise software products, Base Command Manager, Run:ai and NVIDIA NIMs.
- Willingness and ability to learn quickly and solve advanced problems.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!
Solution Architect – AI Factory employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect – AI Factory
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to AI and HPC. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI frameworks or cloud solutions. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your coding and debugging skills. Use platforms like GitHub to contribute to open-source projects and get familiar with tools like Docker and Kubernetes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at NVIDIA!
We think you need these skills to ace Solution Architect – AI Factory
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with AI and HPC clusters, as well as your coding skills. We want to see how you've used tools like Docker, Kubernetes, and Ansible in real-world scenarios. Don’t just list them; give us examples of how you’ve solved problems using these technologies.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Use bullet points for key achievements and make it easy for us to see why you're a great fit for the role.
Demonstrate Your Problem-Solving Skills: We love candidates who can think on their feet! Share specific instances where you've tackled complex issues, especially in dynamic environments. This will show us that you can handle the challenges we face at StudySmarter.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Nvidia
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Docker, Kubernetes, and AI frameworks. Brush up on your coding skills in Python and C/C++, and be ready to discuss your hands-on experience with cluster management and debugging.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and how you articulated solutions to others.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with executives and engineering teams, be ready to discuss your experience in collaborative projects. Share instances where you’ve successfully communicated technical concepts to non-technical stakeholders or led a team through a challenging project.
✨Stay Curious and Eager to Learn
NVIDIA values creativity and a willingness to learn. Be prepared to talk about how you keep up with industry trends and new technologies. Mention any recent projects or open-source contributions that showcase your initiative and passion for continuous learning.
