Anduril Industries Machine Vision Engineer designs and implements machine vision systems for industrial automation and quality inspection. The role includes hardware procurement, deployment, project leadership, and mentoring junior engineers.
Responsibilities
System Development: Design and implement machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring
Hardware Procurement: Specify, procure, validate, and sustain core vision components including cameras, lenses, lighting, controllers, and software
Deployment & Commissioning: Oversee the installation, validation, and commissioning of vision systems across multiple production lines
Project Leadership: Lead technical projects, mentor junior engineers, and collaborate cross-functionally to integrate high-precision inspection systems
Root Cause Analysis: Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures
Training & Support: Mentor junior engineers and train production staff in daily operation, troubleshooting, and maintenance of vision equipment to elevate team technical capabilities
Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline.
Experience: 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in a manufacturing environment.
Vision Platforms: Direct experience with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick.
Libraries & Frameworks: Proficiency with core vision and deep learning software including OpenCV, Halcon, PyTorch, or TensorFlow.
Programming: Strong coding skills in Python, C#, or C++.
Optics & Physics: Deep understanding of camera selection, lens optics, resolution, lighting techniques, and sensor calibration.
Automation Integration: Direct experience interfacing vision systems with industrial controls like PLCs and robotics.
Inspection Methods: Mastery of classical rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies.
Preferred
Smart Manufacturing: Experience with Industry 4.0 standards, factory automation software, and IIoT protocols such as IO-Link, MQTT or OPC UA.
Software Practices: Familiarity with modern development workflows, including Git version control and CI/CD pipelines.
3D Vision: Experience with 3D imaging techniques like structured light, time-of-flight (ToF), or stereo vision for robotic guidance and inspection.
Security Clearance: Possession of an active Secret or Top-Secret security clearance.
$146,000—$194,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: