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Senior Solutions Architect – Large Scale Neural Networks Inference

Remote from Spain·Added 3 days ago (last checked 22 Oct)

NVIDIA

16 open roles

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Our summary

Work mode: Remote from Spain
English: Required
Experience: 8+ years
Education: University degree

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Skills

Requirements

What we're looking for

MS or PhD in Computer Science, Engineering, or equivalent experience in the field.
8+ years in AI/ML infrastructure, with deep expertise in LLM/VLM inference optimization and production deployment at scale.
Deep understanding of transformer inference acceleration: quantization (INT4/FP8), speculative decoding, disaggregated inference, continuous batching, KV cache optimization, and WideEP for MoE models.
Understanding of GPU memory hierarchies and low-latency networking along with their influence on inference performance.
Proven track record to lead technical initiatives.
Excellent communication skills, effective with research scientists, infrastructure engineers, and executive team members.

Nice to have

Experience with NVIDIA's inference stack, including TensorRT-LLM, Triton Inference Server, NIM, and NVIDIA Dynamo.
Experience with GPU orchestration on Kubernetes.
You have operated inference at scale inside a frontier AI lab or hyperscale's inference team.
Contributions to open-source inference projects such as vLLM, SGLang, KServe, or NVIDIA Dynamo.

Pay & benefits

What you'll get

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/

The role

We are seeking a Senior Solutions Architect with deep expertise in large-scale neural network inference and a proven ability to lead technical collaboration with frontier AI labs and enterprises deploying AI at scale across EMEA. In this role, you will define the technical direction for AI inference across EMEA by identifying critical bottlenecks and driving the development of scalable, high-impact solutions. By aligning key team members within NVIDIA and customer organizations, you will influence strategic technology decisions to develop the deployment of next-generation AI inference at scale.

What you'll do

Lead the inference strategy for a portfolio of EMEA AI Natives customers, guiding engagements from initial proof of concept to production-scale deployments.
Identify inference challenges across customer deployments including latency, efficiency, cost per token, memory utilization, and low-latency networking.
Architect and optimize high-performance inference pipelines using NVIDIA Dynamo, TensorRT-LLM, vLLM, SGLang, and other inference backends, improving GPU utilization and AI cluster efficiency.
Translate customer insights and deployment patterns into actionable product feedback that develops the roadmap for NVIDIA stack such as Dynamo, TensorRT-LLM, and NIM.

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all

Search and apply
Phone interviews
Phone call
Full-time candidates typically start with phone interviews.
Virtual or in-person interviews
With hiring manager, team members and employees from other groups · 30–60 min
One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.
Insider Chat
With a community resource group member · 15 min · Not every role
An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.
Decision and offer

Applicants selected to move forward hear from recruiting within a couple of weeks.
Most candidates have a decision within weeks of their first interview.
Technical candidates may complete coding exercises on HackerRank.

About NVIDIA

NVIDIA is a global technology company that designs and manufactures graphics processing units (GPUs) and system-on-a-chip units for gaming, professional visualization, data centers, and artificial intelligence. Founded in 1993, NVIDIA has grown into a multinational corporation with a market value exceeding $1 trillion, employing over 26,000 people worldwide. The company is a household name in the tech industry, powering everything from gaming consoles to the world's most advanced AI supercomputers.

In Spain, NVIDIA has a significant presence with offices in Madrid and Barcelona, focusing on sales, developer relations, and solutions architecture for the Southern European and EMEA regions. The company is known for a high-performance, innovation-driven culture that attracts top engineering talent globally. For international professionals, NVIDIA offers competitive compensation, a strong brand name, and the opportunity to work on cutting-edge AI and HPC technologies, making it a highly attractive employer for those looking to relocate to Spain.

Industry: Technology
Founded: 1993
Employees: 26,000–30,000
Headquarters: Santa Clara, USA
In Spain: Madrid, Barcelona
Website: nvidia.com

Good to know if you are moving

NVIDIA has offices in Madrid and Barcelona, with a strong focus on Southern Europe and EMEA markets.
The company is a global leader in AI computing, offering engineers the chance to work on cutting-edge technologies like CUDA, cuDNN, and the NVIDIA AI Enterprise platform.
NVIDIA's work culture is known for being fast-paced, innovative, and performance-driven, with a strong emphasis on technical excellence.
The company offers competitive compensation and benefits packages, and is consistently rated as one of the best places to work in the tech industry.
For international hires, NVIDIA provides visa sponsorship and relocation support, making it a viable option for professionals looking to move to Spain.

In their own words

Additional information

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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