Remote Edge IoT Engineer — Python, AWS IoT & Jetson

GCS Recruitment; Pflugerville (TX); On-site; USD 66,000 - 110,000; Full time

Job summary

GCS Recruitment seeks an AWS IoT & Edge Computing Engineer to join our team in Austin, TX or remote where feasible. The role focuses on bridging hardware, edge devices and AWS cloud services to enable an end-to-end IoT quality-control pipeline.

Ideal candidates will have hands-on Python, AWS IoT, MQTT, Lambda and S3 experience, plus edge-device development for NVIDIA Jetson and data-ingestion pipelines. ML/anomaly detection experience is a plus.

Qualifications

• Strong hands-on experience with Python development.
• Experience with AWS IoT, MQTT, AWS Lambda and S3.
• Edge-device software development, preferably NVIDIA Jetson.
• Experience designing data-ingestion pipelines from hardware to cloud.

Responsibilities

• Develop and maintain Python applications on edge devices (NVIDIA Jetson).
• Build and support hardware-to-cloud data ingestion pipelines.
• Integrate IoT devices with AWS IoT and MQTT.
• Develop cloud-based processing and data workflows using AWS Lambda and S3.
• Design reliable data collection and transfer workflows from IoT devices.
• Troubleshoot across hardware, edge and cloud environments.
• Collaborate with engineering teams to deliver scalable IoT software solutions.
• Support testing, validation and optimization of the IoT quality-control pipeline.
• Contribute to ML/anomaly-detection capabilities where applicable.

Skills

Python

AWS IoT

MQTT

AWS Lambda

S3

NVIDIA Jetson

Edge devices

Data ingestion pipelines

ML/anomaly detection

Tools

Python

AWS IoT

MQTT

AWS Lambda

S3

NVIDIA Jetson

Job description

GCS Recruitment seeks an AWS IoT & Edge Computing Engineer to join our team in Austin, TX or remote where feasible. The role focuses on bridging hardware, edge devices and AWS cloud services to enable an end-to-end IoT quality-control pipeline.

Ideal candidates will have hands-on Python, AWS IoT, MQTT, Lambda and S3 experience, plus edge-device development for NVIDIA Jetson and data-ingestion pipelines. ML/anomaly detection experience is a plus.