The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.
In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.
What you'll be doing:
Lead the end-to-end execution, tracking, and convergence of chip-level CDC and RDC for complex SoCs across all IPs and partitions.
Plan and orchestrate CDC/RDC signoff: define methodology, scopes, run plans, constraints, and acceptance criteria.
Run and maintain CDC/RDC flows and rule decks, including multi-mode, multi-clock, and hierarchical signoff.
Triage violations efficiently: root-cause to RTL, constraints, tool setup, or IP models; prioritize and drive fixes to closure with owners.
Verify reset architecture and RDC robustness (reset domain intent, release sequencing, glitch detection, fanout).
Author and review CDC/RDC constraints, waivers, and justifications; ensure auditability and signoff quality.
Automate runs, report parsing, dashboards, and KPIs for closure tracking using scripting and data tooling.
Partner with RTL, DV, DFT, STA, PD, and Architecture to align fixes, manage ECOs, and protect CDC/RDC quality during late design changes.
Define and enforce signoff gates; communicate progress and risks with clear metrics and issue tracking.
Continually improve methodology and training to prevent recurring CDC/RDC issues and accelerate convergence.
What we need to see:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering.
7+ years of actual design experience in chip design
Strong RTL proficiency in SystemVerilog for reading/debugging designs and implementing CDC/RDC-safe structures.
Experience with constraints and timing intent (SDC) and their interaction with CDC/RDC.
Hands-on expertise with industry CDC/RDC tools (e.g., SpyGlass, Questa CDC, Real Intent) and lint/formal where relevant.
Proficiency in at least one scripting languages like Python, bash, Perl, TCL.
Great teammate.
Way to stand out from the crowd:
Passion for quality. Experience with delivery to physical design and other customers
NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
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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.”
