Edge AI/ML Engineer — Embedded Systems & Inference

Polluxa, Inc.; Spring (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Polluxa, Inc. is seeking an Embedded AI/ML Developer to design and optimize AI-enabled embedded software for edge devices.

You will work with firmware, hardware, and data science teams to deploy efficient models at the edge and enable intelligent user experiences across resource-constrained platforms. The role emphasizes model optimization, inference runtime integration, and collaboration across cross-functional teams to translate AI concepts into production-ready implementations.

Qualifications

• Bachelor's or Master's in CS/CE/AI or related technical discipline.
• Hands-on experience deploying AI/ML models on embedded systems.
• Experience with edge devices and constrained compute platforms.

Responsibilities

• Designs, develops, and optimizes embedded AI/ML software for edge devices.
• Converts AI/ML models into production-quality embedded implementations.
• Integrates inference engines and AI accelerators into firmware and system software.

Skills

Embedded AI/ML

Edge devices

Model optimization

Inference runtime

Firmware integration

Education

Bachelor's or Master's in CS/CE/AI

Related technical discipline

Tools

TensorRT

ONNX

TFLite

Job description

Polluxa, Inc. is seeking an Embedded AI/ML Developer to design and optimize AI-enabled embedded software for edge devices.

You will work with firmware, hardware, and data science teams to deploy efficient models at the edge and enable intelligent user experiences across resource-constrained platforms. The role emphasizes model optimization, inference runtime integration, and collaboration across cross-functional teams to translate AI concepts into production-ready implementations.