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Algorithmic Engineer Jobs in Lancaster, PA (NOW HIRING)

Algorithmic Engineer information

See Lancaster, PA salary details

$57.8K

$108.5K

$197.3K

How much do algorithmic engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for algorithmic engineer in Lancaster, PA is $108,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $128,800.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

How much does an algorithmic engineer make?

The average salary for an algorithmic engineer varies by experience and location but typically ranges from $100,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options depending on the company and industry.

What does an algorithmic engineer do?

An algorithmic engineer designs, develops, and optimizes algorithms to solve complex problems, often working with large datasets and programming languages like Python or C++. They analyze data patterns, improve system efficiency, and may use tools such as machine learning frameworks to create scalable solutions in fields like finance, tech, or research.

What are popular job titles related to Algorithmic Engineer jobs in Lancaster, PA?

For Algorithmic Engineer jobs in Lancaster, PA, 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