Embedded AI Engineer

Location: Bay Area, California (Hybrid)

Full time

We’re working with a well-funded, product-driven engineering company building next-generation intelligent embedded systems.

Their focus is on deploying AI directly onto devices, enabling real-time decision-making in environments where cloud latency, cost, or connectivity aren’t viable.

This is a hands-on role focused on getting AI models running on real hardware.

You’ll own the full lifecycle:

model development → optimization → deployment → on-device performance tuning

What They’re Looking For

Core Requirements

• Strong Python + C/C++
• Proven experience deploying ML models to edge / embedded systems
• Experience with optimization techniques:
• Quantization
• Pruning
• Model compression
• Understanding of hardware constraints (memory, compute, power)
• Experience working close to production systems (not just research)

Nice to Have

• Computer vision or time-series ML
• Experience with RTOS or low-level systems
• Exposure to hardware accelerators (GPU / DSP / NPU)
• Sensor fusion or streaming data experience

Why This Role Stands Out

• You’ll work on AI that actually ships into real products
• High ownership engineers here own outcomes, not just tasks
• Strong collaboration across software, hardware, and product
• Backed by solid funding and clear product direction

5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.