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NVIDIA

Designs the chips and software that power AI

Physical Design Engineer - Synthesis and Implementation

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeWestford, MA, USAIn-person

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering, a Master of Science in Electrical Engineering, or equivalent experience is required.
  • At least 2 years of experience in synthesis and physical implementation on advanced process nodes is required.
  • Proficiency with Synopsys Fusion Compiler, Cadence Genus, or comparable synthesis tools is required.
  • Hands-on experience with synthesis constraints, timing analysis, quality-of-results optimization, and the full place-and-route flow is required.
  • Analytical and debugging skills across RTL, synthesis, timing, and physical implementation are required.
  • Proficiency in Python, Perl, Tcl, and Make is required.
  • Communication and cross-functional collaboration skills are required.

Responsibilities

  • Own RTL-to-gate synthesis and quality-of-results convergence for complex digital blocks and hierarchical partitions.
  • Optimize synthesis strategies, constraints, and flows to meet performance, power, and area targets.
  • Analyze design bottlenecks and quality-of-results regressions, collaborating with RTL, timing, architecture, and physical design teams to resolve them.
  • Support physical implementation from floorplanning and power planning through routing and timing closure.
  • Automate design setup, execution, reporting, and issue triage while improving project-wide methodologies and best-known methods.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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