IoT & Edge Software Engineer
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-10-25
Listing for:
GCS Recruitment
Full Time
position Listed on 2026-10-25
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AWS, Python
Job Description & How to Apply Below
IoT & Edge Software Engineer About the Role
We're looking for an IoT & Edge Software Engineer to join the team on a contract basis and help develop software solutions for an IoT-enabled quality control device. This person will work at the intersection of edge computing, cloud infrastructure, and data engineering
, building the systems that move data from physical devices into the cloud for processing and analysis.
The ideal candidate is a hands‑on Python developer who has experience working with AWS IoT, edge devices, and hardware-to-cloud data pipelines
. Experience with machine learning and anomaly detection is a strong plus.
- Develop and maintain Python applications running on NVIDIA Jetson edge devices.
- Build and improve software that collects data from IoT-enabled hardware.
- Design and support device-to-cloud data pipelines for reliable data ingestion.
- Configure and integrate AWS IoT services using MQTT, Lambda, and S3
. - Troubleshoot connectivity, data flow, and performance issues across edge and cloud environments.
- Process and organize device-generated data for downstream analysis and quality-control applications.
- Collaborate with hardware, software, and engineering teams to improve the overall IoT platform.
- Help develop solutions for identifying abnormal patterns and behaviors within device data.
- Contribute to the testing, deployment, and ongoing optimization of edge and cloud-based applications.
- Strong experience with Python development
. - Hands‑on experience with AWS IoT technologies.
- Experience working with MQTT, AWS Lambda, and Amazon S3
. - Experience developing applications for edge computing environments
, particularly NVIDIA Jetson. - Background designing or supporting data ingestion workflows from hardware to cloud
. - Strong troubleshooting and problem-solving skills.
- Ability to work across hardware, software, and cloud environments.
- Experience developing machine learning models
. - Knowledge of anomaly detection and predictive analytics.
- Experience with IoT applications in manufacturing, industrial technology, or quality control.
- Experience deploying software or ML models to edge devices.
- Familiarity with real-time data processing and monitoring.
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