Applications Engineer

Overview AI

. Perform hands-on testing with cameras, lenses, lighting, and other machine vision components .

Posted 9/23/2026full-timeSan Francisco • California • United StatesJunior💰 $80,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine vision fundamentals, including hands-on testing with cameras, lenses, and lighting, while effectively collaborating with cross-functional teams to deliver technical solutions. Proficient in AI-based vision systems, model training, and troubleshooting within manufacturing environments.

Highest-signal resume keywords

Machine Vision FundamentalsAI-Based Vision SystemsCamera CalibrationImage Labeling and Model TrainingTroubleshooting and Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CamerasLensesOpticsLightingImage AcquisitionAI-Based Inspection SystemsDeep LearningProof-of-Concept DevelopmentOptical Configuration DevelopmentIndustrial Automation

Soft Skills

Clear CommunicationLogical Problem-SolvingEagerness to Learn

Tools & Technologies

Machine Vision ComponentsIndustrial ControlsPLCs

Industry Keywords

Applications EngineeringRoboticsAutomationManufacturingProduction-Line Troubleshooting

About the role

Key responsibilities & impact

Perform hands-on testing with cameras, lenses, lighting, and other machine vision components
Build and evaluate vision configurations for customer applications and internal projects
Run application tests and produce clear, timely technical reports
Assess new components and technologies and determine whether they improve systems
Test, troubleshoot, deploy, and provide technical problem-solving support for local customers in the field
Collect images, label data, train models, and evaluate AI-based inspection systems
Build internal test setups, resources, and documentation for the Applications team
Conduct camera calibration, develop optical configurations, and evaluate hardware
Split time between the lab and live customer applications, including lens evaluation, camera setup optimization, proof-of-concept development, and production-line troubleshooting
Collaborate with Sales, Product, and Engineering and work directly with manufacturing customers

Requirements

What you’ll need

1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field
Strong hands-on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, and image acquisition
Familiarity with lens types, including telecentric lenses
Working understanding of AI-based vision and differences from traditional rules-based vision
Familiarity with image labeling, model training, classification, object detection, and segmentation
Strong troubleshooting instincts and a logical, experimental approach to technical problems
Comfortable working hands-on with hardware and testing approaches independently
Able to document and communicate technical findings clearly
Eager to learn new technologies, including industrial automation and PLCs
Based in San Francisco, working primarily from the office, with occasional travel to customer sites
Experience with industrial machine vision systems in production preferred
Experience selecting or evaluating cameras, lenses, lighting, or optical components preferred
Hands-on experience with AI or deep learning inspection systems preferred
Experience building proof-of-concept systems or running feasibility studies preferred
Exposure to PLCs, industrial controls, or manufacturing automation preferred
Experience working directly with manufacturing customers preferred

Benefits

Comp & perks

Annual performance bonus of up to 20%
Opportunity to work with world-class engineers and operators across AI, embedded systems, and enterprise deployment
Global exposure to advanced customers and factories