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, hard-working, and self-motivated, we want to hear from you! We are looking for an experienced Solutions Architect based in Central Europe who will be part of our Networking Solution Architect team. This team supports technical aspects of sales engagements for NCPs, AI Factories and Enterprise customers. You will be responsible for driving our end-to-end technology solutions with a specific focus on networking portfolio. Work with some of our most strategic cloud, HPC, telco and enterprise customers, as well as providing field feedback to our marketing and engineering teams on our product strategy. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you.
What you'll be doing:
- Define reference architectures - blueprint for end-to-end solutions integrating GPU and networking into a data-center solution
- Supporting account teams identifying new business opportunities for Nvidia Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and Large-Language-Models (LLM) applications
- Works closely with the Sales teams and Product Marketing to make our customers dreams a reality
- Technical account management for Nvidia Networking product key accounts
- Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners
- Responding to RFP/RFI proposals for AI factories, HPC clusters, Cloud, Enterprise and more, covering network designs
- Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers
- Technical project management of complex networking deployments and design-in opportunities
- Analyzing and troubleshooting performance issues with new technology at the customer site and preparing and delivering technical training presentations
- Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence
What we need to see:
- This role is for an individual with the motivation and skills to drive the technical pre-sales process. The ideal candidate has 3+ years of Solution Architect (or similar Sales Engineering roles) experience
- A bachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering
- Datacenter engineering, networking, or cloud application knowledge. Deep networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet or other networking protocols
- Understanding of system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
- Technical presentation skills and confidence in developing Proofs-of-Concept
- Must have strong sense of achievement and customer focused attitude
- Effective time management and capable of balancing multiple demands with competing deadlines
- Travel required as needed, mainly in EMEA (30% of the working time)
Ways to stand out from the crowd:
- Low latency / high BW interconnect such as InfiniBand / Ethernet AI previous knowledge
- Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction
- Expertise in DC physical infrastructure design: power, cooling & space planning
- Practical use of AI tools
Skills Required
- 3+ years of Solution Architect or Sales Engineering experience
- Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, or Computer Engineering
- Datacenter engineering, networking, or cloud application knowledge
- Deep networking experience, including network topologies and L2/L3 Ethernet or other networking protocols
- Understanding of system-level issues including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
- Technical presentation skills and ability to develop Proofs-of-Concept
- Customer-focused attitude and strong sense of achievement
- Effective time management and ability to balance competing deadlines
- Travel as needed within EMEA (~30% travel)
- Knowledge of low-latency/high-bandwidth interconnects such as InfiniBand or Ethernet
- Experience resolving critical customer issues and ensuring high customer satisfaction
- Expertise in data center physical infrastructure design: power, cooling, and space planning
- Practical use of AI tools
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”



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