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Founding Electrical Engineer

On-site
CleraSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

This is a founding engineering role at an early-stage hardware-tech company building AI-powered tools for electronics design. You will own real client PCB projects end-to-end while working side by side with a software and ML team, and your hands-on work will directly shape the products being built to make hardware development dramatically faster.

What You'll Do

  • Own 2-4 client PCB projects simultaneously, from initial requirements through manufacturing.

  • Design across a wide range of domains: motor controllers, compute carriers, RF/antenna systems, battery management, and high-speed interfaces.

  • Work directly with customers to understand their constraints and deliver reliable solutions.

  • Build internal tools and automation to increase team design throughput.

  • Collaborate closely with layout specialists, firmware engineers, and manufacturing partners.

What We're Looking For

  • 1-5 years of professional electrical engineering experience, with at least one product shipped to production.

  • Hands-on PCB design experience using tools such as KiCad, Altium, Cadence, or LTSpice.

  • Breadth across multiple hardware domains including high-speed digital, power electronics, antennas, and BGA fanout.

  • Experience owning client or customer-facing projects from requirements gathering through to manufacturing.

  • Comfort collaborating across disciplines: layout, firmware, and manufacturing.

  • A track record of personal or self-directed hardware projects that demonstrate initiative and design quality.

  • A mindset oriented toward questioning existing processes and finding faster, cheaper, and more reliable approaches.

  • Familiarity with AI-assisted development tools (such as AI coding assistants or LLM-based agents) is a plus.

Compensation & Benefits

Salary: $160,000 - $200,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in San Francisco, California, USA. Candidates must be based in San Francisco or able to relocate before their start date.

Stack

LLMsMachine Learning
Posted
Sep 28, 2026
Last seen
Sep 28, 2026
First seen
Sep 28, 2026

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