Senior AI ML Solution Engineer, AI-Native Development

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Problem-solving","Collaboration"]

A senior AI/ML Solution Engineer in the AI-Native Development team designs and builds end-to-end AI-powered development pipelines, evaluates ML approaches for code generation and review, and helps scale AI-assisted software development across a multinational organization. You’ll select models, craft evaluation frameworks, and lead proof-of-concept work while refining architectures and risk-based development levels to ensure high-quality AI outputs.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Senior AI ML Solution Engineer, AI-Native Development

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

A senior AI/ML Solution Engineer in the AI-Native Development team designs and builds end-to-end AI-powered development pipelines, evaluates ML approaches for code generation and review, and helps scale AI-assisted software development across a multinational organization. You’ll select models, craft evaluation frameworks, and lead proof-of-concept work while refining architectures and risk-based development levels to ensure high-quality AI outputs.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and build AI-powered development pipelines—from code generation and automated review to feedback loops and evaluation systems.
  • •Evaluate and select ML approaches for specific problems (LLM prompting vs. fine-tuning, classical ML vs. RL, RAG vs. structured extraction).
  • •Architect feedback and evaluation systems that measure and improve AI output quality over time.
  • •Review and refine AI solution architectures, evaluating design decisions and proposing alternatives.
  • •Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Key Requirements

  • •Hold a MSc or PhD in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
  • •5+ years of industry experience in AI pipelines architecture or related fields.
  • •Industry experience building and shipping AI-powered tools or ML pipelines (end-to-end delivery).
  • •Strong programming skills (Python required; familiarity with ML frameworks – PyTorch, HuggingFace, etc.).
  • •Ability to work effectively in a multi-national, multi-time-zone corporate environment.
Experience:5+ yearsAIMLAI pipelinesSoftware development
Education:Master's
Skills:CommunicationProblem-solvingCollaboration
Tech Stack:PythonPyTorchHuggingFaceLLMRAGReinforcement learningNLPInformation retrieval

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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