Embedded AI Engineer

Embedded AI EngineerLocation: Bay Area, California (Hybrid)Full timeWe’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 tuningWhat They’re Looking ForCore RequirementsStrong Python + C/C++Proven experience deploying ML models to edge / embedded systemsExperience with optimization techniques:QuantizationPruningModel compressionUnderstanding of hardware constraints (memory, compute, power)Experience working close to production systems (not just research)Nice to HaveComputer vision or time-series MLExperience with RTOS or low-level systemsExposure to hardware accelerators (GPU / DSP / NPU)Sensor fusion or streaming data experienceWhy This Role Stands OutYou’ll work on AI that actually ships into real productsHigh ownership engineers here own outcomes, not just tasksStrong collaboration across software, hardware, and productBacked by solid funding and clear product direction5V 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.