Edge AI Systems Engineer - Lightweight ML & Embedded
Listed on 2026-10-17
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Embedded Systems/ Firmware/ IoT
Tetra Mem is seeking an experienced ML Engineer to develop and deploy lightweight edge AI models, with emphasis on audio processing. You will optimize models for embedded platforms such as FPGA and custom ASICs, collaborating with hardware teams to product ionize solutions.
The role requires deep ML expertise (PyTorch, Tensor Flow, JAX) and strong software skills (Python, C/C++), plus a track record of optimizing for latency, power, and size.
We invite applications for the Edge AI Systems Engineer
- Lightweight ML & Embedded position located in San Jose, CA, United States.
For the Edge AI Systems Engineer
- Lightweight ML & Embedded position at Tetra Mem
- Accelerate The World, we are reviewing applications now.
Step into the Edge AI Systems Engineer
- Lightweight ML & Embedded role at Tetra Mem
- Accelerate The World in San Jose, CA, United States and grow with us.
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