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Graduate Engineer, Design Automation, Front-End & AI Driven Methodologies

Arm
March 17, 2026
Full-time
On-site
San Diego, California, United States
$116,300 - $157,300 USD yearly
Level - Entry or Early Career

Role Summary

As a member of the Solutions Engineering team, you will contribute to the development of advanced design methodologies and automation flows that enable efficient, scalable, and AI-assisted SoC design. This role offers the opportunity to work on modern algorithms, CAD tooling, and ML/GenAI-driven solutions in front-end design and architectural exploration.

Experience Level

Entry-level with a requirement for current enrollment in Computer Engineering, Electrical Engineering, or Computer Science programs.

Responsibilities

Key responsibilities include:

  • Contributing to the development of automation flows and design methodologies.
  • Working with algorithms and CAD tooling in SoC design.
  • Engaging with ML/GenAI-driven solutions.

Requirements

Must-have skills and experience:

  • Strong programming skills in Python, C++, Ruby, and Go.
  • Knowledge of CAD algorithms, data structures, RTL design, and SoC architecture.
  • Exposure to EDA toolchains (e.g., Synopsys, Cadence, Siemens).
  • Familiarity with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience in data analytics, dashboarding, and workflow automation.

Nice-to-have skills include:

  • Proficiency with version control systems (Git) and CI/CD practices.
  • Knowledge of distributed computing, databases, and cloud-based workflows.
  • Strong problem-solving and analytical skills.

Education Requirements

Current enrollment in a degree program for Computer Engineering, Electrical Engineering, or Computer Science.


About the Company

Company: Arm

Headquarters: Cambridge, United Kingdom

ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.

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Date Posted: 2026-03-17