AI Developer — Interconnect Hardware Frontend

NVIDIA
Shanghai
Full timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Problem-solving","Communication","Cross-team collaboration"]

Drive AI adoption for the MSS-Interconnect frontend team by spotting high-impact opportunities across RTL, verification, debug, code understanding, and design-review workflows. Evaluate and adopt AI tools, models, and agent capabilities for real engineering value, then build and maintain AI-assisted workflows, tools, and reusable components. Partner with hardware engineers to turn pain points into practical use cases and expand adoption beyond early prototypes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
19 hours ago

AI Developer — Interconnect Hardware Frontend

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Drive AI adoption for the MSS-Interconnect frontend team by spotting high-impact opportunities across RTL, verification, debug, code understanding, and design-review workflows. Evaluate and adopt AI tools, models, and agent capabilities for real engineering value, then build and maintain AI-assisted workflows, tools, and reusable components. Partner with hardware engineers to turn pain points into practical use cases and expand adoption beyond early prototypes.
Location: Shanghai
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Identify high-impact opportunities to apply AI across RTL, verification, debug, code understanding, and design-review workflows.
  • •Continuously evaluate new AI tools, models, and agent capabilities to determine which are worth adopting for real engineering work.
  • •Build and maintain AI-assisted workflows, tools, and reusable components that improve team productivity.
  • •Partner with hardware engineers to turn pain points into practical AI use cases and iterate based on usage and feedback.
  • •Drive adoption beyond early prototypes by improving workflow quality, reliability, and long-term usefulness.

Key Requirements

  • •BS or MS in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • •3+ years of relevant experience in ASIC/SoC frontend engineering, verification, design methodology, or engineering productivity tooling.
  • •Strong understanding of hardware frontend workflows, including RTL design, verification, debug, and design reviews.
  • •Strong Python and software engineering skills, with experience building practical automation or tools for engineers.
  • •Sufficient hardware depth to judge whether an AI-assisted solution is useful, technically sound, and deployable.
Experience:3+ yearsASICSoCVerificationDesign methodologyEngineering productivity toolingRTLLLM-based toolsInterconnectNoC
Education:
Skills:Problem-solvingCommunicationCross-team collaboration
Tech Stack:PythonLLMAgentsRTLVerificationCAD

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
WebsiteLinkedInGlassdoor