ASIC Top Floorplan Design Engineer
NVIDIAJob Title
ASIC Top Floorplan Design Engineer
Role Summary
Design and optimize floorplans for NVIDIA SoCs and GPUs, collaborating with architects, physical-design leads and package teams during early chip development. Influence early implementation choices to improve area, routing, timing and power while contributing to tooling and automation.
Experience Level
Entry-level / Early career. The posting specifies a Masters degree plus 1+ year of equivalent work or learning experience.
Responsibilities
Primary responsibilities include creating and refining floorplans, resolving physical design issues, and improving tooling and workflows.
- Develop and optimize chip floorplans in collaboration with architects, design leads and package leads during early design phases.
- Drive area review processes and identify opportunities to improve area, interconnect and floorplan efficiency.
- Resolve timing and routing congestion issues by influencing early design and physical implementation decisions.
- Build and improve tools and infrastructure; apply AI techniques to optimize chip area and execution speed.
- Work with physical-design and ASIC teams to support power/clock distribution, packaging, place-and-route and timing closure efforts.
Requirements
Key technical and interpersonal requirements. Education details are listed separately under Education Requirements.
- Experience with Verilog, SystemVerilog, or similar hardware verification languages.
- Experience with CAD and physical-design methodologies, including flow and tool development; familiarity with P&R and timing closure practices.
- Practical knowledge of chip floorplan work, power/clock distribution and packaging integration.
- Proficiency in Python, Perl and C/C++ for tooling and automation tasks.
- Strong communication and interpersonal skills; ability to work effectively on cross-functional teams.
- Experience using AI coding assistants (for example, GitHub Copilot) in development workflows.
Nice-to-have:
- Experience driving development of large-scale ASIC floorplans.
- Experience building large projects from the ground up using AI tools.
- Good spoken English.
Education Requirements
Master's degree in Electrical Engineering, Computer Science, or Computer Engineering plus 1+ year of equivalent work or learning experience (as stated in the posting).
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.
