Edge AI – Computer Vision Engineer

. Install, configure, and calibrate smart cameras at manufacturing sites for human detection in restricted areas .

Posted 10/26/2026full-timeUnited StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and optimizing object detection models on edge hardware, with a solid foundation in programming and Linux environments. Capable of collaborating with engineering teams to translate detection events into actionable machine signals while managing GitOps workflows.

Highest-signal resume keywords

Python ProgrammingObject Detection ModelsDocker ContainerizationLinux Systems AdministrationGitOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingComputer VisionDeep LearningModel OptimizationEdge Device ExperienceTFLiteONNXYOLOSSDPLC Understanding

Soft Skills

Strong Communication Skills

Tools & Technologies

DockerAXIS ACAPNVIDIA JetsonCoralRaspberry PiIP CamerasRTSP Streaming

Industry Keywords

ManufacturingSmart InfrastructureIoT SolutionsCloud Computing

Tech Stack

Tools & technologies

CloudDockerIoTLinuxPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Install, configure, and calibrate smart cameras at manufacturing sites for human detection in restricted areas
Train, optimize, and deploy object detection models on AXIS ACAP edge hardware
Build and maintain the containerized software stack on Linux
Manage GitOps workflows with Git as the source of truth and automated build, test, and deployment
Collaborate with controls engineers to translate detection events into machine signals and validate end-to-end behavior
Monitor model performance in the field
Collect edge cases and iterate on datasets and models
Take on growing autonomy over the engagement
Work alongside the data and AI engineering team and the client's controls engineers on on-site deliverables
Support customers in Automotive, Manufacturing, Smart Infrastructure, and related sectors through IoT and cloud computing solutions

Requirements

What you’ll need

Bachelor's degree (completed or final year) in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Strong foundation in programming fundamentals
Proficiency in Python
Working knowledge of C/C++
Solid Linux background, including command line, services, logs, and networking basics
Hands-on experience with Docker, including images, Compose, volumes, and container troubleshooting
Familiarity and experience with Git-based CI/CD and GitOps practices
Coursework or project experience in computer vision/deep learning
Willingness to travel regularly to client manufacturing sites
Preferred: Experience with CV/DL frameworks such as PyTorch, TensorFlow, and OpenCV
Preferred: Experience with object detection models such as YOLO and SSD
Preferred: Experience optimizing models for edge devices using TFLite, ONNX, and quantization
Preferred: Experience with edge hardware such as AXIS ACAP, NVIDIA Jetson, Coral, or Raspberry Pi
Preferred: Basic understanding of industrial controls, including PLCs, digital I/O, Modbus, and OPC-UA
Preferred: Experience with IP cameras, RTSP video streaming, or network configuration
Preferred: Prior internship, research, or hands-on hardware/IoT project experience
Preferred: Strong communication skills and comfort working directly with client engineering teams

Benefits

Comp & perks

Benefits
Equal opportunity employment
Reasonable accommodation during the application or recruiting process