Software Engineer, Data Center Compute Software Tools (RDSS Intern)
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Intern
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This role involves static timing analysis, constraints creation, and timing closure for hierarchical and full-chip designs, along with synthesis, formal verification, and physical design flow development. The team seeks candidates with an MS in electrical engineering, computer science, or microelectronics plus one year of experience in IC design implementation. Key skills include proficiency with Synopsys tools (DC, PT, Formality) or Cadence tools (Genus, LEC), and programming in Python, Perl, or TCL. The position works on advanced process technology and involves collaboration across design, DFT, and architecture teams.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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 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.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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