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Senior Design Engineer, CPU Execution Unit

Tachyum
August 27, 2026
Full-time
On-site
Las Vegas, Nevada, United States
RTL Design Jobs, Level - Senior

Job Title

Senior Design Engineer, CPU Execution Unit

Role Summary

Design and optimize the CPU execution unit (ALU and related pipeline stages) for Tachyum's Prodigy Universal Processor. Work within the hardware/CPU microarchitecture team to deliver high-speed, low-power RTL suitable for deep-submicron processes.

Experience Level

Senior β€” typically 5 to 8 years of relevant industry experience (strong candidates with slightly lower experience may be considered).

Responsibilities

Deliver and integrate RTL for the execution unit and support timing, synthesis, and verification flows.

  • Design and implement arithmetic/ALU logic and execution-stage microarchitecture.
  • Optimize logic for high-speed processor pipelines and low-power deep-submicron implementation.
  • Produce synthesizable Verilog/SystemVerilog and support synthesis and static timing analysis (STA) closure.
  • Coordinate with CDC, lint, verification, and timing teams to ensure correct and performant designs.
  • Participate in design reviews and drive implementation to meet performance, area, and power targets.

Requirements

Core skills and experience required for the role.

  • Must-have: 5–8 years of practical experience in CPU/execution unit or similar RTL design.
  • Must-have: Experience with ALU/arithmetic unit logic design with emphasis on high-speed pipeline architectures.
  • Must-have: Hands-on RTL using Verilog/SystemVerilog, synthesis flow knowledge, and familiarity with STA, CDC, and lint practices.
  • Must-have: Experience targeting deep submicron technologies and applying low-power design techniques.
  • Nice-to-have: Proficiency in C and scripting (Perl, shell, Python, awk) to support tooling and validation tasks.

Education Requirements

Not specified.


About the Company

Company: Tachyum

Headquarters: Sunnyvale, CA, USA

Tachyum develops Prodigy, a universal processor that combines CPU, GPU, and TPU capabilities to deliver high-performance, energy-efficient computing for AI, HPC, and cloud data centers. The company focuses on ultra-low power, hyperscale deployments and operates offices in the United States and Slovakia.

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Date Posted: 2026-08-26