Senior Solutions Architect - Multimodal AI

NVIDIA
France, Switzerland, Poland, Spain, United Kingdom
Workplace: RemoteFull timePLN 292,500 - 507,000Function: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: mastersSkills: ["Communication","Customer-facing collaboration"]

Serve as a technical expert for EMEA AI Natives companies building multimodal document intelligence applications. Build customer relationships from architecture planning through production deployment, guide model training across modalities, and tackle vision challenges like latency-aware encoder optimization. Translate field insights into product roadmap decisions across NeMo, TensorRT-LLM, Dynamo, and RAPIDS, and engage developers via demos, talks, hackathons, and reference blueprints.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solutions Architect - Multimodal AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Serve as a technical expert for EMEA AI Natives companies building multimodal document intelligence applications. Build customer relationships from architecture planning through production deployment, guide model training across modalities, and tackle vision challenges like latency-aware encoder optimization. Translate field insights into product roadmap decisions across NeMo, TensorRT-LLM, Dynamo, and RAPIDS, and engage developers via demos, talks, hackathons, and reference blueprints.
Location: France, Switzerland, Poland, Spain, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop technical relationships with customers building multimodal AI systems, supporting them from architectural planning through production deployment.
  • •Advise on model training strategies across modalities (e.g., layout-aware encoders, user-item interaction models, and spatiotemporal video representations).
  • •Address vision content challenges including image resolution handling, production latency constraints, efficient video frame sampling, and temporal reasoning.
  • •Represent customer needs to NVIDIA research, engineering, and 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.

Pay and Benefits

Salary: PLN 292,500 - 507,000

Key Requirements

  • •MS or PhD in Computer Science, Engineering, or equivalent experience.
  • •7+ years in applied AI/ML with hands-on experience in document understanding and visual content analysis.
  • •Proven track record building or optimizing VLMs and omni models.
  • •Familiarity with NVIDIA ecosystem tools such as TensorRT-LLM, NeMo, RAPIDS, or equivalent training/inference frameworks.
  • •Excellent communication skills and comfort collaborating with research scientists, ML engineers, and business partners.
Experience:7+ yearsApplied AI/MLMultimodal AIDocument intelligenceComputer vision
Education:Master's in Computer Science, Engineering
Skills:CommunicationCustomer-facing collaboration
Tech Stack:NVIDIANeMoTensorRT-LLMDynamoRAPIDSVLMsOmni modelsRetrievalDense retrievalANN indexingRe-ranking pipelinesQuantizationPruning

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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