Head of Hardware

🏢 Agtonomy · 📍 South San Francisco, CA · 💼 onsite · ⏰ Full Time 💰 $200,000 - $275,000 / yr

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Position Summary & Responsibilities

About Us

At Agtonomy, we’re not just building tech—we’re transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we’re creating a future where labor shortages, environmental strain and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers—engineers, innovators and industry experts—who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.

About the Role

As Head of Hardware, you’ll lead and grow the hardware organization, spanning electrical, mechanical and systems engineering. Our hardware products are designed to be OEM factory-fit solutions, so you’ll also be managing outwards and building strong relationships with our tier 1 equipment partners. We're looking for someone who combines technical excellence with strong leadership abilities and strategic thinking. The ideal candidate will be excited about building both great products and great teams, with a passion for building for the physical world.

🎯 Candidate Preparation Guide For Agtonomy Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluates cutting-edge robotics, AI, and autonomous vehicle software applied specifically to heavy machinery and agricultural equipment.

📋 Preparation Priorities (Key Areas to Clarify):

1. Designing complex robotics solutions that fail to account for dust, mud, vibration, and GPS-denied farm environments.
2. Being overly academic with zero appreciation for rapid, iterative field testing.
3. Missing core safety-critical mindset requirements for autonomous heavy machinery.

✨ Recommended Role Alignment Hook:

I build robust autonomy stacks that solve real-world perception and control challenges for off-highway machinery.

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