Solutions Engineering Intern

Job Description

Solutions Engineering Intern | Arm

The Tone:
This is an internship at Arm, a company driving the vision to cultivate a vast ecosystem of silicon essential for cutting-edge advancements in AI, data centers, mobile, compute, and IoT technologies. This role matters because it involves contributing to advanced design methodologies and automation flows. Your work will enable the creation of efficient, scalable, and AI-assisted SoC designs.

The TL;DR
• Role: Internship
• Location: Hybrid
• Pay: $116300–$157300 yearly
• Team: Solutions Engineering team
• Mission: Develop advanced design methodologies and automation flows to create efficient, scalable, and AI-assisted SoC designs.
• Tech Stack: Python, C++, Ruby, Go, scripting, Synopsys, Cadence, Siemens, PyTorch, TensorFlow, Git

What You’ll Actually Do
• Develop: Advanced design methodologies and automation flows within the Solutions Engineering team.
• Enable: The creation of efficient, scalable, and AI-assisted SoC designs through your contributions.
• Immerse: In modern algorithms, CAD tooling, and innovative Machine Learning/Generative AI-driven solutions.
• Focus: On the domains of front-end design and architectural exploration.

The Must-Haves
• Background: Currently enrolled in a degree program in Computer Engineering, Electrical Engineering, or Computer Science. Early Career.
• Experience: Exposure to Electronic Design Automation (EDA) toolchains (Synopsys, Cadence, Siemens) in front-end design or verification domains. Familiarity with machine learning, deep learning frameworks (e.g., PyTorch/TensorFlow), and generative AI methods. Experience in data analytics, dashboarding, and workflow automation.
• Skills: Strong programming skills in Python, C++, Ruby, Go, and general scripting. Strong knowledge of CAD algorithms, data structures, RTL design, and SoC architecture concepts.
• Bonus: Proficiency with version control systems (Git) and modern CI/CD practices. Knowledge of distributed computing, databases, and cloud-based workflows. Strong problem-solving skills, an analytical approach, and keen attention to detail. Excellent communication, teamwork, and the ability to collaborate effectively across multi-functional, global teams. A genuine interest in shaping the next generation of AI-accelerated SoC design methodologies.