AI Developer — Interconnect Hardware Frontend

Job Title

AI Developer — Interconnect Hardware Frontend

Role Summary

The role applies modern AI to improve productivity in RTL, verification, debug, and design-review workflows for the MSS-Interconnect frontend team. You will work with global RTL, verification, CAD, and methodology teams to turn AI prototypes into reliable, production-quality engineering tools.

Experience Level

Mid-level — typically requires 3+ years of relevant ASIC/SoC frontend experience.

Responsibilities

The role focuses on identifying, building, and deploying AI-assisted workflows and tooling that materially improve engineering productivity.

• Identify high-impact opportunities to apply AI across RTL, verification, debug, code understanding, and design-review workflows.
• Continuously evaluate AI tools, models, and agent capabilities and recommend which to adopt for engineering use.
• Design, build, and maintain AI-assisted workflows, tools, and reusable components for engineers.
• Partner with hardware engineers to convert pain points into practical AI use cases and iterate based on feedback and usage.
• Improve workflow quality, reliability, and long-term usefulness to drive adoption beyond prototypes.
• Advise on where to experiment, invest, and scale as AI tooling evolves.

Requirements

Must-have technical skills and experience required to perform the role.

• 3+ years of relevant experience in ASIC/SoC frontend engineering, verification, design methodology, or engineering productivity tooling.
• Strong understanding of hardware frontend workflows (RTL design, verification, debug, design reviews).
• Strong Python and software engineering skills; experience building practical automation or engineering tools.
• Sufficient hardware depth to assess whether AI-assisted solutions are useful, technically sound, and deployable.
• Strong problem-solving, communication, and cross-team collaboration skills.

Nice-to-have

• Experience building or deploying LLM-based tools, agents, or AI-assisted workflows for engineering users.
• Hands-on familiarity with modern AI tooling and good judgment about which tools to trial or adopt.
• Experience driving sustained adoption of internal tools beyond prototypes.
• Familiarity with frontend hardware development environments and debug-intensive workflows.
• Background in Interconnect, NoC, memory systems, bus fabrics, or related silicon domains.

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.