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Integrated Circuit Design Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Acceler8 Talent
Full Time position
Listed on 2026-01-25
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer, Electronics Engineer, Electrical Engineering
Job Description & How to Apply Below
Position: Application Specific Integrated Circuit Design Engineer

Acceler8 Talent is seeking an experienced Microarchitect & RTL Design Engineer to join a well funded startup whose hardware promises to drastically change the economics of compute for the worlds  largest models.

With >$100m series A in the bank, and a genuinely world-class team with a track record of shipping highly successful products, this company abandons legacy chip design assumptions and strives for the best possible solution for every aspect of their chip - there is no such thing as "good enough".

As a Microarchitect & RTL Design Engineer, you will be responsible for defining microarchitecture and implementing performance-critical RTL. You will work closely with architecture, verification, compiler, and software teams to translate architectural intent into high-quality, production-ready silicon.

Responsibilities
  • Design, implement, and debug RTL blocks at the subsystem and full-chip level for custom AI accelerators
  • Translate architectural specifications into synthesizable, high-performance RTL
  • Collaborate closely with architecture, verification, physical design, and software teams to ensure correct, performant, and scalable implementations
  • Optimize RTL for performance, power, and area (PPA) across compute, memory, and interconnect subsystems
  • Support integration, timing closure, bring-up, and debug through tape-out and silicon validation
Requirements
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent experience
  • Strong experience designing RTL in System Verilog or Verilog for complex digital systems
  • 5+ years in microarchitecture/RTL design focused position in industry.
  • Experience implementing performance-critical logic, including pipelines, state machines, memory interfaces, and on-chip interconnects
  • Solid understanding of computer architecture and micro-architecture, particularly for high-performance compute or accelerator designs
Preferences
  • Experience working on AI accelerators, GPUs, or high-performance So Cs
  • Familiarity with hardware–software interfaces, including how RTL design choices impact kernels, compilers, and system software
  • Experience supporting post-silicon bring-up and debug

If you re interested in building the future of AI compute, apply here or reach out to me at  to discuss further.

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