Job Details

Lead AI Engineer - Building the Future of Home Intelligence

About Us

We're building Jarvis for the real world. Founded by a proven unicorn founder and well-funded, we're creating the first truly intelligent home companion—an AI that doesn't wait for commands but understands your life and acts proactively. Think Apple-level design meets cutting-edge AI, all running locally in your home for complete privacy.

The Role

We're seeking a Lead AI Engineer to architect and build the brain of our ambient intelligence platform. You'll lead the development of multimodal AI systems that understand context, predict intent, and take action—all running on custom consumer hardware. This isn't about building chatbots; it's about creating an AI that knows when you're hungry and offers to order your favorite food, welcomes guests automatically, and adjusts your environment based on your daily rhythms.

What You'll Lead & Build

• Intent Architecture: Design and implement the core intent classification system that turns human behavior into actionable intelligence across voice, vision, and behavioral signals
• Multimodal Fusion: Build real-time pipelines that combine speech, computer vision, and contextual data to understand user state and environment
• Edge AI Infrastructure: Architect on-device inference engines capable of running 32B+ parameter models with sub-100ms latency for concurrent requests
• Proactive Intelligence: Create context-aware systems that learn user patterns and make intelligent decisions without explicit commands
• Cross-Platform Integration: Lead development of AI systems spanning Linux (Nexus), Android (Screen), mobile apps, and desktop overlays
• Model Optimization: Drive quantization, distillation, and custom hardware acceleration strategies for consumer-grade deployment
• Team Leadership: Guide a team of ML engineers, set technical direction, and collaborate across hardware, firmware, and product teams

Requirements

Must Have:

• 5+ years building production ML systems with 2+ years in technical leadership
• Deep expertise in transformer architectures, multimodal AI, and real-time inference
• Proven track record optimizing large models for edge deployment (quantization, pruning, hardware acceleration)
• Strong systems programming skills in Python, with experience in Rust or C++ for performance-critical components
• Experience with streaming audio/video processing and computer vision pipelines
• Track record of shipping consumer-facing AI products or working in consumer hardware/IoT

Highly Preferred:

• Experience with on-device ASR/TTS, wake word detection, or voice activity detection
• Background in robotics, autonomous systems, or ambient computing
• Experience with custom silicon (NPUs, edge TPUs) and hardware-software co-design
• Rust expertise for high-performance AI inference engines

Why This Role

• Greenfield Opportunity: Build the foundational AI architecture for a new product category
• Technical Challenge: Solve novel problems in ambient intelligence, multimodal AI, and edge computing at consumer scale
• Impact: Your work will directly enable experiences that feel like magic to millions of users
• Team: Work alongside world-class hardware engineers, designers, and a proven founding team
• Equity: Significant ownership in a company positioned to define the next computing platform

Location: San Francisco Bay Area (on-site collaboration essential for hardware integration)

• Location: San Francisco Bay Area
• Employment type: Full-time
• Seniority level: Mid-Senior level
• Job function: Engineering and Information Technology
• Industries: Technology, Information and Internet