Senior Edge AI Engineer — Lead On-Device ML & Edge Systems

TetraMem - Accelerate The World; San Jose (CA); On-site; USD 200,000 - 280,000; Full time

Job summary

TetraMem - Accelerate The World seeks a senior ML leader to design and optimize edge AI models for audio processing on embedded platforms. You will guide cross-functional teams, mentor junior engineers, and push for efficient, low-latency implementations across FPGA, ASIC, and software stacks.

You will shape the architecture, champion model compression techniques, and publish or contribute to open-source efforts as part of a broader innovation strategy.

Qualifications

• 5+ years of industry experience (or a PhD) in CS, EE, ML, or related field.
• Demonstrated leadership: team lead or cross-functional coordination.
• Strong hands-on ML with edge AI, on-device inference, and lightweight models on constrained devices.

Responsibilities

• Develop, optimize, and deploy lightweight ML models for edge AI applications (audio processing).
• Implement and optimize ML models on embedded platforms (FPGA, ASIC).
• Collaborate with hardware and software teams to integrate ML into production systems.
• Research state-of-the-art ML techniques to enhance efficiency, latency, and power on embedded AI.

Skills

Edge AI

On-device inference

Python

C/C++

ML optimization

TensorRT/TFLite

Education

PhD or MSc in CS/EE/ML

Tools

PyTorch

TensorFlow

JAX

ONNX Runtime

NPU/DSP SDKs

Job description

TetraMem - Accelerate The World seeks a senior ML leader to design and optimize edge AI models for audio processing on embedded platforms. You will guide cross-functional teams, mentor junior engineers, and push for efficient, low-latency implementations across FPGA, ASIC, and software stacks.

You will shape the architecture, champion model compression techniques, and publish or contribute to open-source efforts as part of a broader innovation strategy.