Software Engineer, X-ray Source Development

zeissgroup; Dublin (CA); Presencial; USD 90 000 - 130 000; Tempo integral

Resumo da oferta

ZEISS in Dublin, CA is seeking a Software Engineer to support the development, automation, testing, and continuous improvement of manufacturing and engineering processes for advanced X-ray source products.

You will build tools that automate production and test activities, acquire and process engineering data, and provide analytical capabilities to characterize product performance and reliability; collaborate with manufacturing, test, reliability, and engineering teams to drive efficiency and

Responsabilidades

• Software Development & Manufacturing Automation: Design, develop, test, and maintain software tools that automate manufacturing, engineering, and production-test processes.
• Production Test & Engineering Support: Support engineering and manufacturing teams with the execution and troubleshooting of production-test processes; operate and support automated test equipment for X-ray source conditioning and verification.
• Engineering Data Analysis: Develop software for analyzing production, calibration, reliability, and product-performance data; aggregate data from multiple products and test stations; perform statistical analysis.
• Reliability & Root-Cause Investigation Support: Develop data-collection and analytical tools for product-reliability investigations; correlate data with manufacturing history and test results; prepare datasets for further analysis.
• Production & Process Improvement: Identify opportunities for software and automation to reduce repetitive manual activities and improve manufacturing efficiency; assist with automated production workflows to integrate software tools.

Descrição da oferta de emprego

About Us:

How many companies can say they've been in business for over 179 years?! Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like, Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team!

Location: Dublin, CA

What's the role?

The Software Engineer supports the development, automation, testing, and continuous improvement of manufacturing and engineering processes for advanced X-ray source products. This position combines software development, manufacturing automation, data analysis, and hands-on engineering support to improve production efficiency, product reliability, test capability, and data-driven decision-making. The Software Engineer develops tools that automate production and test activities, acquires and processes engineering data, and provides analytical capabilities to characterize product performance and reliability. Working closely with manufacturing, test, reliability, and engineering teams, the role may also support production equipment and X-ray source testing as needed.

Sound Interesting?

Here’s what you’ll do:

Software Development & Manufacturing Automation

• Design, develop, test, and maintain software tools that automate manufacturing, engineering, and production-test processes.
• Develop automated data-acquisition solutions for collecting engineering and production information from test equipment.
• Develop scripts and utilities for processing large quantities of production and test data.
• Improve existing automation by increasing execution efficiency, reducing manual operations, and enabling parallel data-processing activities where appropriate.
• Develop methods for organizing and correlating production data, test results, product history, operating hours, and component serial-number information.
• Support the development and implementation of production and final-test automation, including automated acquisition of vacuum, emitter, and heater metrics.

Production Test & Engineering Support

• Support engineering and manufacturing teams with the execution and troubleshooting of production-test processes.
• Operate and support automated and semi-automated test equipment used for X-ray source conditioning, calibration, characterization, and final verification.
• Assist with high-voltage conditioning, emitter testing, focus and spot calibration, astigmatism correction, randomizer testing, droop verification, write-to-flash operations, and other production-verification activities.
• Monitor test progress, identify abnormal conditions, and troubleshoot issues encountered during source testing.
• Document source status, test conditions, anomalies, and completed manufacturing and test operations.
• Work directly with engineers and manufacturing personnel to support products through the production-test sequence, including Doghouse and Versa testing.

Engineering Data Analysis

• Develop software for analyzing production, calibration, reliability, and product-performance data.
• Aggregate and analyze data from multiple products, test stations, and historical production records.
• Develop filtering and data-cleaning methods that distinguish valid production results from failed or non-representative test data.
• Perform statistical analysis of product characteristics and manufacturing trends, including spot-size performance across products and operating energies.
• Generate engineering datasets, plots, summaries, and other analytical outputs used to support technical decisions.
• Support engineers in evaluating product performance across operating conditions and product populations.

Reliability & Root-Cause Investigation Support

• Develop data-collection and analytical tools that support product-reliability investigations.
• Correlate component serial numbers with manufacturing history, operating hours, production results, field information, and test data.
• Support engineering investigations through automated acquisition and analysis of source and component performance data.
• Prepare structured datasets for additional statistical analysis using engineering analysis tools such as JMP.
• Assist engineers in identifying patterns and relationships among manufacturing history, component configuration, and observed product behavior.

Production & Process Improvement

• Identify opportunities for software and automation to reduce repetitive manual activities and improve manufacturing efficiency.
• Support the development and improvement of automated production workflows.
• Assist with integrating software tools into man