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Senior Solutions Architect - Multimodal AI

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: 7+ 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 will be considered.
7+ years in applied AI/ML, having hands-on experience on document understanding, visual content analysis.
Proven track record in building or optimizing VLMs and Omni models.
Familiarity with NVIDIA's ecosystem: TensorRT-LLM, NeMo, RAPIDS, or equivalent training and inference frameworks.
Excellent communication skills, comfortable with research scientists, ML engineers, and business collaborators.

Nice to have

You have built multimodal AI systems that handle multiple modalities (audio, video) and complex structures: layouts, tables, and multi-page reasoning.
Understanding of retrieval and search systems: dense retrieval, ANN indexing, re-ranking pipelines.
You have optimized vision encoders for production: quantization, pruning, or architectural changes to hit real latency budgets.
You have published work or open-source contributions in multimodal learning.

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

Our team is looking for a Senior Solutions Architect with hands-on experience training and optimizing multimodal AI solutions for image and video document intelligence. In this role, you will serve as the technical expert for EMEA AI Natives companies building Multimodal applications for content analysis and recommendations. Using NVIDIA software and Hardware stack, you will help customers tackle their most complex AI challenges, from building document intelligence pipelines to scaling text/image/video understanding applications for production. Working alongside NVIDIA research, engineering and product teams, you will translate modern AI technologies into accurate, production-ready solutions that deliver measurable business value.

What you'll do

Develop technical relationships with customers building multimodal AI systems for document intelligence, personalization, and image/video analysis, assisting them from architectural planning through to deployment in production.
Guide customers on model training strategies across modalities: layout-aware document encoders, user-item interaction models, and spatiotemporal video representations.
Tackle Vision content challenges: image resolutions, vision encoder optimization for production latency constraints, efficient video frame sampling, temporal reasoning.
Represent customer needs directly to NVIDIA's product teams, translating field insights into roadmap decisions across NeMo, TensorRT-LLM, Dynamo and RAPIDS.
Engage the developer community through hackathons, technical talks, demos, and reference blueprints.

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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