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Camera Process Engineer Jobs (NOW HIRING)

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

Module Process Engineer

Sunnyvale, CA ยท On-site

$184K - $324K/yr

S. Degree minimum in Physics, Materials Science, Mechanical Engineering, or a related field and 10 years of relevant industry experience. - Experience in EQ/Process development in Camera, Sensor ...

Degree minimum in Physics, Materials Science, Mechanical Engineering, or a related field and 3 years of relevant industry experience. - Experience in EQ/Process development in Camera, Sensor, MEMS ...

Module Process Engineer

Sunnyvale, CA ยท On-site

$184K - $324K/yr

S. Degree minimum in Physics, Materials Science, Mechanical Engineering, or a related field and 10 years of relevant industry experience. * - Experience in EQ/Process development in Camera, Sensor ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

$150K - $277K/yr

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro ... Proficient in programming languages such as Python, C++, or similar. * Knowledge of deep learning ...

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro ... Proficient in programming languages such as Python, C++, or similar. * Knowledge of deep learning ...

Maintain operation of site security systems (Cameras / Access Controls). * Maintain Automation ... process. * Ability to partner with engineers, maintenance E&I technicians, and operators.

Maintain operation of site security systems (Cameras / Access Controls). * Maintain Automation ... process. * Ability to partner with engineers, maintenance E&I technicians, and operators.

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro ... Proficient in programming languages such as Python, C++, or similar. * Knowledge of deep learning ...

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro ... Proficient in programming languages such as Python, C++, or similar. * Knowledge of deep learning ...

Camera Image Processing Engineer

Cupertino, CA ยท On-site

$150K - $277K/yr

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

Camera System Engineer

San Diego, CA ยท On-site

$122K - $183K/yr

Strong background in image processing, computer vision, or camera systems . * Experience with ... Engineers in this position influence user-visible imaging performance across multiple product tiers ...

Camera Systems Engineer

San Diego, CA ยท On-site

$137K - $143K/yr

Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Camera ... Signal Processing design, development, implementation, and verification. โ€ข 2 + years of ...

Sr. Global Optics Process Engineer

Goleta, CA ยท On-site

$112K - $145K/yr

By combining infrared cameras, AI algorithms, and advancedperceptionplatforms, SYLUX helps next ... Global process ownership. DESIRED QUALIFICATIONS: * Minimum 10+yearsexperiencein Test Engineering ...

Showing results 21-40

Camera Process Engineer information

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$49.5K

$92K

$142.5K

How much do camera process engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for camera process engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a camera process engineer?

A Camera Process Engineer is a specialized engineer responsible for developing, optimizing, and maintaining the processes involved in manufacturing camera modules and imaging systems, especially for smartphones and other electronic devices. They work on improving image quality, yield, and production efficiency by collaborating with cross-functional teams, such as hardware, software, and manufacturing. Their role often includes troubleshooting, process documentation, and implementing new technologies to advance camera capabilities.

What are the key skills and qualifications needed to thrive as a camera process engineer, and why are they important?

To thrive as a Camera Process Engineer, you need a solid background in electrical engineering, physics, or materials science, along with experience in semiconductor fabrication and process optimization. Familiarity with photolithography tools, metrology instruments, and data analysis software such as MATLAB or JMP, as well as knowledge of ISO quality standards, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring process reliability. These competencies are critical for driving innovation, maintaining high yield rates, and ensuring the production of high-performance camera modules.

What are some typical challenges a camera process engineer faces when transitioning from prototype to mass production?

Camera Process Engineers often encounter challenges when scaling up from small-batch prototypes to high-volume manufacturing. These can include ensuring process consistency, maintaining image quality standards, and troubleshooting yield issues that arise due to equipment variation or material inconsistencies. Close collaboration with quality, design, and manufacturing teams is essential to quickly identify root causes and implement robust process controls. Effective communication and continuous process optimization are key to overcoming these hurdles and ensuring products meet both performance and production targets.

What are popular job titles related to Camera Process Engineer jobs?

For Camera Process Engineer jobs, the most frequently searched job titles are:

Process Engineer - Vision Systems

Yocumtown, PA โ€ข On-site

Amphenol TCS
Electrical Equipment, Appliance, and Component Manufacturingย โ€ขย 1 - 5K employees

Full-time

Posted 2 days ago

New


Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Position: Process Engineer - Vision Systems
Location: Valley Green, Pennsylvania (Global Travel)

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors and cable assemblies for the Telecom/Datacom market, including AI infrastructure, data centers, storage, servers, routers, and switches. Our products enable the electronics revolution and support major Tier 1 OEMs globally. We have design, sales, engineering, and manufacturing locations worldwide and are currently seeking an NPI Engineer - Vision Systems to join our Cable Backplane Systems (CBS) Global NPI organization based in Valley Green, Pennsylvania. This role serves as the global process specialist for machine-vision and automated-inspection technologies, with ownership for process readiness, new technology development, factory deployment, standardization, and technical governance across CBS manufacturing sites.

RESPONSIBILITIES:

•  Serve as the CBS global technical process owner for machine-vision and automated-inspection systems, responsible for inspection strategy, technology development, process readiness, validation, standardization, deployment, and sustained capability across global manufacturing sites.

o  Define the machine-vision technology roadmap and evaluate new 2D/3D vision, structured-light/profilometry, AI/deep-learning inspection, OCR/OCV, measurement, and defect-detection technologies where they provide clear manufacturing value.

o  Translate drawings, CTQs/CTFs, PFMEA/control-plan risks, cosmetic criteria, dimensional requirements, defect modes, and traceability needs into measurable inspection requirements, challenge criteria, and system acceptance specifications.

o  Develop robust vision solutions by optimizing cameras, lenses, lighting, sensors, part presentation, fixturing, algorithms, recipes, image processing, and system logic for expected product and process variation.

o  Convert proven inspection concepts into repeatable factory solutions and deploy them globally through technical specifications, integrator development, FAT/SAT, MSA/correlation, site qualification, training, controlled release, and ramp support.

•  Process Readiness & NPI Governance - Own vision-system readiness through prototype, EVT, DVT, PVT, qualification, pilot, and MP ramp. Define phase-gate criteria for inspection requirements, hardware/software readiness, recipes, challenge samples, MSA, data capture, reject logic, documentation, training, and production support.

•  Measurement-System Development & Validation - Establish validation methods for repeatability, reproducibility, correlation, detection capability, false-accept/false-reject performance, robustness, and sensitivity to expected process variation. Lead GR&R, challenge-sample studies, golden/reference sample strategy, and production correlation.

•  New Technology & Platform Development - Develop scalable inspection platforms and common architectures for cameras, optics, lighting, 2D/3D sensing, AI/deep learning where appropriate, controllers, computing, edge processing, and inspection software; evaluate emerging technologies through structured trials before deployment.

•  Automation, Controls & Data Integration - Integrate vision systems with PLCs, robots, motion, reject mechanisms, alarms, MES/traceability, serial-number genealogy, image/data storage, process interlocks, and equipment-control logic so inspection results drive reliable manufacturing decisions.

•  Global Factory Deployment & Site Enablement - Lead technical deployment into CBS factories, including design review, installation readiness, commissioning, FAT/SAT closure, site correlation, production qualification, engineer/technician training, troubleshooting, and stabilization through MP ramp.

•  Standardization & Technical Governance - Define approved hardware/software architectures, camera/lens/lighting selection methods, programming practices, inspection-development standards, recipe/version control, backup/recovery, access control, MSA requirements, change control, documentation, and technical approval criteria for major system changes.

•  Site Team Development & Technical Escalation - Act as the global subject-matter expert for vision systems; coach site engineers, build local troubleshooting and programming capability, support difficult escape/over-reject investigations, and provide technical escalation for system, algorithm, lighting, fixturing, or integration limitations.

•  Supplier / Integrator Management - Develop URS and acceptance criteria for vision integrators and equipment suppliers; lead technical reviews, concept selection, feasibility trials, FAT/SAT, performance-gap closure, commissioning, lifecycle support, and future-platform development.

•  Continuous Improvement & Knowledge Management - Improve detection robustness, measurement capability, cycle time, false-reject rate, uptime, maintainability, data quality, and reuse of common solutions. Capture lessons learned and convert successful applications into reusable standards, libraries, troubleshooting guides, and training content.

QUALIFICATIONS:

•  Bachelor's degree in Electrical, Automation, Computer, Mechanical, Manufacturing Engineering, Mechatronics, or a related technical field.

•  5+ years of hands-on machine-vision, automated inspection, metrology, industrial image-processing, or vision-system integration experience is strongly preferred.

•  Strong knowledge of cameras, optics, lenses, lighting, 2D/3D sensing, image processing, part presentation, fixturing, inspection algorithms, industrial communications, and production-environment robustness.

•  Experience with Cognex, Keyence, Omron, Halcon, OpenCV, or similar platforms; exposure to AI/deep-learning inspection or 3D metrology technologies is a plus.

•  Demonstrated experience with measurement-system analysis, GR&R, correlation, challenge samples, false-accept/false-reject studies, SPC, and validation of automated inspection systems.

•  Experience integrating vision with PLCs, robots, automated equipment, MES, traceability/genealogy, databases, and production-control logic is strongly preferred.

•  Strong hands-on troubleshooting, technical documentation, supplier/integrator management, training, and cross-site coaching skills; ability to influence global teams without direct authority.

•  Experience in electronics, connectors, cable assembly, precision assembly, or other high-volume manufacturing environments is preferred.

•  Travel - Approximately 30-50% domestic and international travel, with increased travel during technology development, factory deployments, qualifications, and major production ramps.


Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/


Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968