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Normal Computing

Develops probabilistic AI for enterprise applications

RTL Design Engineer - RTL

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-time$200k - $400k /yr

About the Job

Requirements

  • Hands-on experience writing production RTL in SystemVerilog and closing it through synthesis and place-and-route.
  • Experience closing coverage to a high level.
  • At least one tapeout from any node and company size.
  • Experience working on datapaths, pipelines, or custom logic where the microarchitecture was not fully specified upfront.
  • Strong debugging ability across simulation, waveforms, and formal counterexamples.
  • Ability to work directly with architects and physical designers.
  • Industry experience in ASIC or SoC design.
  • Experience prototyping ASIC RTL on FPGAs, including synthesis, place-and-route, timing closure in Vivado, lab bring-up, and debug.

Responsibilities

  • Write and own synthesizable RTL in SystemVerilog across blocks ranging from datapath logic to control and memory interfaces.
  • Work with architecture to translate high-level specifications into implementable microarchitectures.
  • Work closely with the verification team to review verification plans, assist with debugging, and partner in closing coverage.
  • Collaborate with physical design on timing closure, floorplanning constraints, and design-for-test (DFT).
  • Participate in design reviews and contribute to architecture decisions.
  • Support tapeout preparation, integration, and post-silicon bring-up as needed.
  • Map ASIC RTL onto the FPGA prototyping platform for pre-silicon validation and early software development, including synthesis, timing closure, and bring-up in Vivado with multi-clock designs and vendor IP such as PCIe and memory controllers.

Desired Qualifications

  • Experience at an AI chip company where design and verification were tightly coupled.
  • Open-source RTL contributions to projects such as Chipyard, OpenTitan, or CVA6.
  • Familiarity with RISC-V or other open instruction set architectures (ISAs).
  • Experience with AI-assisted RTL or electronic design automation (EDA) tooling in the design workflow.
  • Exposure to physical design constraints, floorplanning, or timing-driven RTL development.

About the Company

Normal Computing

Develops probabilistic AI for enterprise applications

Normal Computing builds AI systems for large, mission-critical workloads and provides generative AI tailored for enterprises. It uses Probabilistic AI, which uses statistical analysis to predict outcomes, giving firms more control over reliability, adaptability, and auditability. The company differentiates itself through leadership from Google Brain, Palantir, and X, and by focusing on risk-aware, enterprise-grade AI for industries with strict risk constraints. Its goal is to help Fortune 500 companies and government agencies deploy AI in critical operations with strong reliability, clear audit trails, and manageable risk.

Company size
51-200
Company stage
Early VC
Total funding
$133M
Headquarters
New York City, New York
Founded
2022

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