Design Automation Engineer

NVIDIA
Israel
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Teamwork","Self-learning","Proactive attitude"]

Build and maintain automation tools for mechanical design teams, improving efficiency and accuracy through intuitive, user-centric software platforms. Partner with cross-functional teams to define requirements and deliver production-ready solutions that embed AI/ML and intelligent debugging. Provide support and training on tool usage and guidelines while helping NVIDIA accelerate issue resolution and improve reliability for next-generation GPU and data center hardware.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Design Automation Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Build and maintain automation tools for mechanical design teams, improving efficiency and accuracy through intuitive, user-centric software platforms. Partner with cross-functional teams to define requirements and deliver production-ready solutions that embed AI/ML and intelligent debugging. Provide support and training on tool usage and guidelines while helping NVIDIA accelerate issue resolution and improve reliability for next-generation GPU and data center hardware.
Location: Israel
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain automation tools to improve efficiency and accuracy for mechanical design teams.
  • •Collaborate with cross-functional teams to determine requirements and implement solutions.
  • •Embed AI/ML solutions into production-ready tools and system architecture.
  • •Provide support and training to team members on guidelines and tool usage.
  • •Contribute to issue resolution acceleration and improved product reliability for next-generation hardware platforms.

Key Requirements

  • •Bachelor’s degree in Computer Engineering/Computer Science.
  • •Technical orientation and strong problem-solving skills.
  • •2+ years of experience.
  • •Proficiency in programming languages and AI tools.
  • •Excellent communication skills and a proactive attitude.
Experience:2+ yearsAI/MLHigh-performance computingCADMechanical design
Education:Bachelor's in Computer Engineering/Computer Science
Skills:CommunicationProblem-solvingTeamworkSelf-learningProactive attitude
Tech Stack:AI/MLCADUX/UIProgramming languagesHigh-performance computing

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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