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Senior Solutions Architect – Large Scale AI Inference

Remote from Spain·Added 1 month ago

NVIDIA

16 open roles

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Our summary

Work mode: Remote from Spain
English: Required
Experience: 5+ years
Education: University degree

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Skills

Requirements

What we're looking for

MS or PhD in Computer Science, Engineering, High-Performance Computing, or equivalent professional experience.
5+ years of experience in Neural Networks inference optimization.
Solid understanding of transformers inference optimization: quantization, disaggregated inference, speculative decoding, continuous batching, KV cache optimization.
Practical experience in MoE inference at scale: expert parallelism, WideEP, all-to-all communication, routing overhead, and load balancing at scale.
Ability to engage effectively with ML engineers, researchers, and systems architects at a deep technical level.

Nice to have

Hands-on experience with NVIDIA Dynamo, NIXL, Grove, or emerging disaggregated inference tooling.
Understanding of GPU memory hierarchies and high-speed interconnects (NVLink, InfiniBand, RDMA, UCX).
You have contributed to advanced AI lab or large scale AI infrastructure providers performing inference on thousands of GPUs.
Published work or benchmarks in large-scale AI inference.

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/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN.

The role

We are looking for a Senior Solutions Architect with deep experience in large-scale production AI inference. You will collaborate with top EMEA AI Natives, AI infrastructure providers, and enterprises deploying AI at scale. As a trusted technical leader, you will ensure NVIDIA's inference stack achieves best performance, efficiency, and reliability. You will address the industry's toughest AI inference challenges at the intersection of AI and high-performance computing, driving innovations in areas such as multi-node Mixture-of-Experts (MoE) serving, interconnect-aware scheduling, memory-bound workload optimization, and next-generation inference architectures. Your work will establish the technical direction for scalable, high-performance AI inference across the most demanding production environments.

What you'll do

Guide EMEA AI Natives customers in deploying and optimizing large-scale inference workloads on multi-node GPU clusters.
Architect efficient inference pipelines for dense and sparse/latent MoE models distributing workload among thousands of GPUs.
Improve inference efficiency across quantization (INT4/FP8), speculative decoding, disaggregated prefill/decode, KV cache management, and WideEP for large MoE deployments.
Collaborate with NVIDIA product teams (Dynamo, TensorRT-LLM, NIXL) to accelerate customer success.
Animate the AI inference developer's community across EMEA through technical workshops, hackathons, and reference architectures.

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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