ASIC Physical Design Engineer

Posted One Month Ago
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Hsinchu County, TWN
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Perform full-chip and hierarchical STA, create and validate constraints, perform timing closure at partition and full-chip levels, run synthesis and formal checks, implement partitioning and floorplanning, create ECOs, and develop/automate timing closure and related flows.
Summary Generated by Built In

ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.

What you'll be doing:
  • STA for hierarchical design.

  • Constraints creation and validation, timing budget.

  • Timing closure for both partition and full chip level.

  • Special timing closure, such as io, clock etc. especially for test timing.

  • Synthesis, Netlist quality check, Formal Verification.

  • Implement chip partition and floorplan.

  • Function eco creation.

  • Develop and enhance entire timing closure flow from frontend (pre-layout) to backend (post-layout).

  • Flow automation development, Methodology in any of above areas.

What we need to see:

  • MS in EE, CS or Microelectronics with 1+ year experience is preferred

  • Project experience in IC design implementation.

  • Courses taken in circuit design, digital design

  • Hand-on experience in EDA software from Synopsys (FC/DC/PT/Formality), Cadence (RC compiler/Genus/LEC) is helpful

  • Proficient user of Python, perl or TCL is helpful

  • Proficient in English reading and writing

Ways to stand out from the crowd:

  •  Proficient user of Perl, Python or TCL is preferred.

  •  Excellent English communication skill.

  • Good DFT design knowledge.

Skills Required

  • MS in EE, CS, or Microelectronics (1+ year experience preferred)
  • Project experience in IC design implementation
  • Courses in circuit design and digital design
  • Hands-on experience with Synopsys (FC/DC/PT/Formality) and Cadence (RC Compiler/Genus/LEC) EDA tools
  • Proficient in Python, Perl, or TCL
  • Proficient English reading and writing
  • DFT design knowledge
  • Excellent English communication skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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