The posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML) based in the United States.
This is a hands-on engineering role focused on deploying and optimizing machine vision and AI/ML solutions in real-world manufacturing environments. You will work directly with engineering, operations, and quality teams on factory floors to solve complex inspection, automation, and process challenges. The role combines computer vision, AI/ML, industrial automation, system integration, troubleshooting, and customer enablement. You will help deploy production-ready vision systems involving cameras, optics, lighting, edge devices, and intelligent inspection models. Your work will directly support improvements in product quality, throughput, yield, first-pass quality, and overall equipment effectiveness. The position requires close collaboration with sales, deep-learning, product, and engineering teams to deliver effective customer solutions and continuous improvements. This opportunity is well suited to a technically strong, customer-focused engineer who thrives in fast-paced production environments and is comfortable traveling 50% or more.
Accountabilities:
- Work closely with sales and deep-learning teams to troubleshoot customer challenges, support deployments, and expand solution adoption.
- Travel 50% or more to customer manufacturing facilities for system installation, commissioning, troubleshooting, and ongoing support.
- Deploy and configure vision systems, including cameras, optics, lighting, and edge devices, within production environments.
- Diagnose and resolve electrical, mechanical, and software issues while working under real-time production constraints.
- Help minimize production downtime through rapid and effective issue resolution.
- Design and optimize machine vision solutions for inspection, defect detection, measurement, and guidance applications.
- Deploy and validate AI/ML models for real-world applications such as classification, object detection, and segmentation.
- Collect, label, organize, and manage image datasets to improve model performance.
- Tune models and systems for accuracy, latency, robustness, and consistent performance under variable factory conditions.
- Bridge the gap between data science models and reliable, production-ready inspection systems.
- Integrate solutions with PLCs, HMIs, robotics, and existing industrial automation systems.
- Support connectivity with MES, SCADA, and plant network infrastructure.
- Optimize system performance to improve throughput, yield, and first-pass quality.
- Execute proof-of-concepts, pilot programs, and full production deployments.
- Train operators, engineers, and quality teams on system operation, troubleshooting, and best practices.
- Develop documentation, standard operating procedures, and troubleshooting guides to support long-term adoption.
- Act as a trusted technical advisor to manufacturing, quality, and operations stakeholders.
- Translate production and inspection challenges into practical and scalable technical solutions.
- Provide structured feedback to product and engineering teams to improve system performance and usability.
- Contribute to successful production deployments, system uptime, model performance, defect reduction, scrap reduction, throughput improvements, OEE improvements, and customer satisfaction.
- Bachelor’s degree in Engineering, Computer Science, or a related technical field.
- 3–8+ years of experience in manufacturing, industrial automation, field engineering, or a closely related area.
- Hands-on experience with machine vision systems and image formation in industrial environments.
- Strong troubleshooting capabilities across hardware and software systems.
- Ability and willingness to travel frequently, with 50% or more travel required.
- Experience designing or deploying computer vision solutions in production environments is preferred.
- Familiarity with computer vision frameworks such as OpenCV and deep-learning-based tools is preferred.
- Experience deploying AI/ML models in production environments is a plus.
- Experience with industrial PLCs, particularly Allen-Bradley or Siemens, is preferred.
- Familiarity with industrial communication networks such as Ethernet/IP, PROFINET, and Modbus.
- Hands-on knowledge of industrial cameras, lenses, lighting, and image acquisition systems is preferred.
- Familiarity with data annotation tools and image dataset management.
- Experience with edge computing or GPU-based inference systems is desirable.
- Knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies is a plus.
- Strong systems-thinking skills across hardware, software, and data pipelines.
- Ability to troubleshoot and optimize systems effectively in high-pressure production environments.
- Clear and confident communication skills when working with operators, engineers, quality teams, and executives.
- Adaptability and strong problem-solving skills in fast-paced and changing manufacturing environments.
- Located near a major airport is advantageous due to the travel requirements.
- Fully remote position available anywhere in the United States, with frequent travel to customer manufacturing facilities.
- Competitive compensation and equity opportunities.
- Medical, dental, and vision insurance with 100% of premiums paid.
- Gym membership reimbursement.
- Dedicated budget for hardware and software needed to maximize effectiveness in the role.
- Regular technical talks covering advances in computer vision, deep learning, and software engineering.
- Opportunity to work on intellectually challenging machine vision and AI/ML applications.
- Hands-on exposure to industrial automation, AI-driven inspection, edge computing, and production-scale computer vision.
- Opportunity to directly contribute to improvements in manufacturing quality, efficiency, throughput, and operational performance.
- Collaborative environment connecting field engineering, sales, deep learning, product, and software engineering teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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