🛠 Tech Stack

💼 About This Role

You'll design, train, and deploy gesture detection algorithms on ultra-low-power embedded hardware for wearable voice agents. You'll own the full development cycle from whiteboard to product, collaborating with hardware, firmware, and product teams.

🎯 What You'll Do

• Design, train, and deploy gesture detection on ultra-low-power embedded hardware
• Evaluate and adapt larger ML models for mobile class hardware
• Own full development cycle from system design to on-device optimization
• Collaborate with electrical, mechanical, and product teams on integration

📋 Requirements

• 10 years of experience in Software Engineering, ML Research, or related fields
• Experience building and deploying ML algorithms on embedded or resource-constrained devices
• Proficiency in Python and C/C++ with frameworks like PyTorch or TensorFlow
• End-to-end ML workflows from data capture to on-device deployment

✨ Nice to Have

• Master’s or Ph.D. in a relevant field
• Experience with wearables, IMUs, or tactile/force sensors
• Familiarity with synthetic data generation and augmentation

🎁 Benefits & Perks

• 💰 401(k) max employer match: 3.5% of compensation
• 🏥 100% employer-paid health, vision, and dental for you and dependents
• 🏖️ Unlimited PTO and sick time
• 💡 Flexible spending account with employer matching up to $1,650/year
• 📈 Competitive stock options