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NUVACORE

CPU Custom Circuit Lead

Austin, TX; Santa Clara, CAHybrid · United States
Staff · Full Time · ENGINEERING
POSTED 15 OCTVERIFIED 7H AGO
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Role
25 days opentrue age
Posted 15 Oct
Payats field
$200k–300kposted
▲ +20% vs market median $208k
$183k$300k
Market p25–p75
$183k–$265k
NUVACORE p25–p75
$195kn=13
H-1B median · Software engineering
$183k
Austin · n=20 · 365d to 4 Nov
CompanyNUVACORE →
20open roles
Opened · 30d
+0
Closed · 30d
−1
7d of snapshots · 30d window
Market
9,276open · Staff Software engineering
Opened · 7d
+4955% of open
All software engineering
75,151open
All tracked boards · live 10 Nov · n=9,276
Visa
7H-1B LCAs · FY26
Median wage
$183k
LCAs FY26 · n=7 · to 2026-06-26
Python

At NUVACORE we're designing a new general-purpose CPU core for the sustained, intensive demands of AI infrastructure and agentic computing, not the workloads of the past. As a member of the CPU-specific custom circuit design team, you will enable the design to achieve the target PPA specifications for the product.

THE ROLE

As a Custom Design Lead, you will participate in and direct work in the following :

Lead a small team of engineers responsible for development of custom memories (SRAM and register files) used in development of a high performance CPU

Manage and help participate in schematic development and characterization of custom memories (SRAM, register files) to optimize PPA at advanced process nodes.

Supervise layout implementation, defining macro floor planning, critical routing specifications, and driving physical design verification (PDV) closure.

Manage engineers performing end-to-end memory IP signoff: schematic and layout through DRC/LVS/antenna, parasitic extraction, and characterization (timing, power, and noise in Liberty/CCS format) across PVT corners, meeting target PPA commitments.

Partner with Foundry/PDK, CAD, Physical Design, RTL and DFT teams to benchmark new process technology, validate IP on testchips, and co-optimize custom memories for downstream design PPA.

Collaborate closely with RTL, providing explicit custom memory functional specifications, timing behaviors, and state definitions to support accurate RTL modeling.

Define and drive adoption of Tools, Flows, and Methodology (TFM) — including characterization automation and compiler QA — to raise design efficiency and set team-wide best practices.

MINIMUM QUALIFICATIONS

Hold a BS, MS, or PhD degree with 12+ years of experience in custom memory circuit design - SRAMs, and/or Register files.

Hands-on transistor-level circuit design experience with combo cells, sequential logic in static/dynamic logic families, as well as memory arrays — bit cells, sense amps, decoders — in advanced CMOS nodes.

Deep knowledge of SPICE simulations, SRAMs / Register File circuit margins, and special memory cells architecture.

Proficient with industry-standard EDA tools for schematic, layout, extraction, and characterization, applied to custom memory design workflows.

Demonstrated track record delivering production-level custom memory IP through tape-out, with silicon-validated PPA in high-volume products.

Deep understanding of end-to-end signoff for custom memories — DRC/LVS/antenna, extraction, Spice margins, STA, EM/IR — and characterization flows spanning timing, power, and noise.

Well-versed in STA and Liberty/CCS lib model development and correlation, including timing and power characterization for both Functional and DFT (Design for Test) modes.

Strong communication and collaboration skills, comfortable working directly with foundry, CAD, and physical design partner teams.

REQUIREMENTS — PREFERRED

Experience managing engineers and providing technical leadership to a custom circuit team

Substantial experience across the full embedded memory design flow — architecture, circuit design, physical implementation, compiler automation, characterization, and timing/model generation.

Experience designing and optimizing complex memory sub-blocks (self timed design tracking loops, read/write assist schemes, power-gating headers) and translating PDK device characteristics into cell/bit-cell circuit decisions.

Proven PPA-focused execution, including SRAM architecture trade-offs, critical-path modeling, full-cut analysis, and extensive Monte Carlo variation studies.

Demonstrated experience converging on macro verification, including functional formal equivalence (LEC) and dynamic SPICE-versus-RTL co-simulation (cosim) methods.

Experience partnering directly with foundries on PDK bring-up and device co-optimization (DTCO) at leading-edge nodes.

Proficient in Python, Perl, or TCL to build and improve design, characterization, and QA automation.

Experience using Agentic AI tools for productivity and automation.

Source · NUVACOREFirst seen 2 NovOriginal ↗