Title: Vision Edge Developer
Location: Georgetown KY
Duration: 4 Months
Description
- Architect and develop edge-based computer vision systems for automotive inspection and automation
- Design train and deploy real-time ML/CV models optimized for edge hardware
- Optimize inference performance (latency throughput memory power) on industrial edge devices
- Build hybrid edge cloud architectures using AWS for model lifecycle management and monitoring
- Implement DevOps/Lops pipelines for edge deployment updates and rollback
- Integrate vision systems with PLCs MES and factory networks
- Lead technical decisions and mentor engineers on edge and vision best practices
Qualifications
- 7 years of software engineering experience including edge or embedded systems
- Strong proficiency in Python and/or C for performance-critical vision workloads
- Proven experience with computer vision and ML (OpenCV Pytorch TensorFlow ONNX)
- Hands-on experience with edge deployment (Docker NVIDIA Jetson Intel or similar platforms)
- Experience with AWS hybrid/edge services and cloud integration
- Strong background in CI/CD DevOps and production system reliability
- Experience delivering systems in automotive or industrial manufacturing environments
Title: Vision Edge Developer Location: Georgetown KY Duration: 4 Months Description Architect and develop edge-based computer vision systems for automotive inspection and automation Design train and deploy real-time ML/CV models optimized for edge hardware Optimize inference performance (latency...
Title: Vision Edge Developer
Location: Georgetown KY
Duration: 4 Months
Description
- Architect and develop edge-based computer vision systems for automotive inspection and automation
- Design train and deploy real-time ML/CV models optimized for edge hardware
- Optimize inference performance (latency throughput memory power) on industrial edge devices
- Build hybrid edge cloud architectures using AWS for model lifecycle management and monitoring
- Implement DevOps/Lops pipelines for edge deployment updates and rollback
- Integrate vision systems with PLCs MES and factory networks
- Lead technical decisions and mentor engineers on edge and vision best practices
Qualifications
- 7 years of software engineering experience including edge or embedded systems
- Strong proficiency in Python and/or C for performance-critical vision workloads
- Proven experience with computer vision and ML (OpenCV Pytorch TensorFlow ONNX)
- Hands-on experience with edge deployment (Docker NVIDIA Jetson Intel or similar platforms)
- Experience with AWS hybrid/edge services and cloud integration
- Strong background in CI/CD DevOps and production system reliability
- Experience delivering systems in automotive or industrial manufacturing environments
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