**Stealth Mode Startup** | Founded by Unicorn Founder | Consumer Hardware/AI
## About Us
We're building the future of intelligent consumer devices. Our team combines deep AI expertise with hardware innovation to create products that feel magical. Founded by a proven unicorn founder, we're well-funded and moving intensely fast.
## The Role
We're looking for a versatile engineer who can bridge AI/ML optimization with embedded systems development. You'll be responsible for making cutting-edge AI models run efficiently on resource-constrained hardware while building the software infrastructure that powers our device.
## What You'll Do
**AI/ML Optimization:**
- Quantize, optimize, and deploy neural networks for on-device inference
- Fine-tune and adapt pre-trained models for specific use cases (ASR, intent detection, TTS)
- Implement efficient inference engines and memory management for real-time AI workloads
- Balance model performance vs. hardware constraints (latency, power, memory)
**Embedded Software Development:**
- Build real-time audio processing pipelines for continuous capture and streaming
- Develop on-device speech recognition and natural language processing systems
- Implement computer vision algorithms for room scanning and object recognition
- Optimize software for HDMI stick form factor with strict power/thermal limits
- Create robust device software that handles hardware failures gracefully
**System Integration:**
- Design hybrid on-device/cloud AI architecture with intelligent fallback mechanisms
- Build efficient data pipelines between sensors, processing units, and cloud services
- Implement secure, low-latency communication protocols
- Work closely with hardware team on system architecture decisions
## What We're Looking For
**Required:**
- 2+ years experience in AI/ML with focus on model optimization and deployment
- 5+ years in embedded systems programming (C/C++, real-time constraints)
- Experience with model quantization, pruning, and edge AI frameworks (TensorFlow Lite, ONNX Runtime, etc.)
- Proficiency in audio processing, ASR, or computer vision pipelines
- Understanding of hardware constraints in consumer devices (power, memory, thermal)
- Experience with Linux embedded systems and device drivers
**Bonus Points:**
- Previous work on smart speakers, IoT devices, or consumer electronics
- Experience with on-device speech recognition
- Knowledge of ARM processors, GPU acceleration, or dedicated AI chips
- Background in real-time systems and low-latency audio processing
- Experience with fine-tuning transformer models for edge deployment
## Why Join Us
- Opportunity to shape the AI-powered future of consumer electronics
- Work directly with a proven founder who has scaled companies to unicorn status
- Competitive equity package with significant upside potential
- Small team where your work will have massive impact
- Access to cutting-edge AI models and compute resources
- Flexible work environment with top-tier benefits
## Location
San Francisco Bay Area (hybrid) or Remote (US timezones)
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