About the role
ASIC-PD team is hiring 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, test, clock etc.
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 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.
Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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