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Emulation Engineer

Job in Saratoga, Santa Clara County, California, 95071, USA
Listing for: Eridu Corporation
Full Time position
Listed on 2025-12-02
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer, AI Engineer, Software Engineer
Job Description & How to Apply Below

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today’s AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company’s solutions and value proposition have been validated by several leading hyperscalers.

The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the‑art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co‑founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World’s leading micro‑LED company and developer of the first augmented reality contact lens).

Position Overview

We are seeking a highly skilled and motivated Emulation Engineer to join our hardware development team. The ideal candidate will be responsible for building and deploying emulation and FPGA models from RTL designs using industry‑standard tools and methodologies. This role involves close collaboration with cross‑functional teams including design, software, firmware, and validation to accelerate hardware verification and software development.

Responsibilities
  • Develop and deliver emulation models from RTL using synthesis, partitioning, and routing tools.
  • Plan and execute simulation acceleration, emulation, and prototyping activities aligned with project milestones.
  • Design and implement high‑performance transactors and emulation test benches using System Verilog and C/C++/DPI.
  • Drive emulation methodologies for hardware verification and software/firmware development.
  • Build system‑level use cases for execution on emulators and support platform bring‑up.
  • Analyze emulation results, identify performance regressions, and triage issues.
  • Conduct power measurements and performance evaluations on emulation platforms.
  • Maintain and enhance emulation CI infrastructure to support autonomous performance exploration.
  • Collaborate with vendors to debug issues and deploy new emulation capabilities.
  • Interface with design, validation, and software teams to optimize emulation environments and workflows.
Qualifications
  • Bachelor’s degree in Electrical/Computer Engineering with a minimum of 7+ years of relevant experience, or Master’s degree with 5+ years of experience.
  • Strong background in ASIC logic/RTL design and emulation model development.
Required Skills
  • Proficiency in Verilog/System Verilog, C/C++, Python, and Unix Shell scripting.
  • Experience with emulation platforms such as Palladium, Veloce, Zebu, or FPGA prototyping.
  • Familiarity with emulation tools and methodologies including BFMs, transactors, and hybrid environments.
  • Ability to debug hardware issues using waveforms, logs, and trace dumps.
  • Experience with CI/CD tools (e.g., Jenkins, Git Lab CI) for automation and integration.
  • Excellent problem‑solving, debugging, and analytical skills.
Preferred Skills
  • Experience in building workloads for pre‑silicon environments.
  • Knowledge of emulation performance optimization techniques.
  • Exposure to system‑level use case development and power/performance analysis.
  • Experience with computer networking protocols such as Ethernet.
  • Experience with network test equipment such as Ixia/Spirent traffic generators.
Why Join Us?

At Eridu AI, you’ll have the opportunity to shape the future of AI infrastructure, working with a world‑class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities.

The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.

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