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Acceler8 Talent

RTL Design Engineer (Top Level Integration)

Acceler8 Talent, Mountain View, California, us, 94039

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This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $250,000.00/yr - $325,000.00/yr

Top-Level RTL Integration Engineer – Datacenter AI Hardware Acceler8 Talent is partnering with a well‑funded startup (>$100m Series A), backed by world‑class investors, to hire an experienced Top-Level Integration Engineer.

This team is building the next‑generation compute platform for companies developing and running GenAI models. Led by ex‑Google engineers who were instrumental in the development of Google's AI capabilities, it's safe to say the team has skin in the game.

You’ll join a highly skilled engineering group at the forefront of silicon design, driving the integration of complex subsystems into full‑chip solutions from architecture through to production silicon.

What You’ll Do

Own top‑level chip integration, bringing together compute, interconnect, and memory subsystems into production‑quality ASIC/SoC designs.

Develop and maintain integration flows for RTL assembly, clock/reset/power architecture, and chip‑level interfaces.

Collaborate across design, verification, DFT, and physical design teams to achieve full‑chip functionality, timing, and coverage closure.

Drive chip‑level build, simulation, and debug flows, ensuring quality sign‑off for synthesis, lint, CDC, and equivalence checking.

Work closely with verification and emulation teams to validate full‑chip integration and debug issues across subsystems.

Support silicon bring‑up, debug, and performance validation at the top level in the lab.

What We’re Looking For

Proven track record of chip‑level integration from architecture spec through production silicon.

Strong experience with SystemVerilog and proficiency in Python, C/C++, Bluespec, or similar languages for design and automation.

Hands‑on expertise in RTL integration flows including lint, CDC, synthesis, and equivalence checking.

Solid understanding of DFT and physical design concepts, with experience partnering across disciplines to achieve sign‑off.

Familiarity with full‑chip verification and emulation; hands‑on bring‑up experience is a strong plus.

Why Join?

Join a well‑funded, fast‑growing startup shaping the future of GenAI compute.

Work alongside industry‑leading architects and engineers.

Hybrid role based in Mountain View, CA (3 days on‑site).

If you’re interested, apply here or reach out directly to Luke at ltomaszko@acceler8talent.com to learn more.

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