Senior Software Engineer in Test (SDET)
Michigan, Portage 1941 Stryker Way, United States
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What You Will Do
As a Senior SDET, you will work with fellow test engineers, using hardware and software, to provide networked and cloud-based software solutions to accelerate testing, create data measurement and analysis services, simulate physical set ups, monitor equipment, and automate testing. You will work as part of a team and partner closely with Test Engineers and Technicians in support of New Product Development (NPD) for Research and Development (R&D) at Stryker, Instruments Division.
Responsibilities:
Provide computer engineering support for the design, development, deployment and maintenance of new and existing networked and cloud-based test systems, ensuring that all activities are completed and documented in accordance with the Stryker procedures.
Ensure quality of test processes and systems as defined in the appropriate operation and systems specifications.
Determine and implement computer-based design approaches and parameters on new and existing networked and cloud-based test systems and processes.
Hold an active role in test team discussions. Provide computer engineering input on key topics to improve efficiency and effectiveness of test systems.
Analyze computer test systems to establish automated analytical data flows.
Develop software based on analysis of specifications, reliability, industry best practices and regulatory requirements.
Maintain networked and cloud-based infrastructure for both software development and test operations.
Assist in evaluating vendor capability to support test system development and operations.
What You Need
Required Qualifications:
B.S. in Computer Science, Computer Engineering, Software or related computer science discipline/experience and 2+ years of relevant work experience.
Practicable knowledge in software development and computer science fundamentals.
Verifiable proficiency with Python programming language.
Verifiable proficiency with Linux-based systems and container architectures.
Preferred Qualifications:
MS Degree in Computer Science, Engineering or related.
Verifiable proficiency with REST API architectures.
Verifiable proficiency with GIT-based Version Control Platforms.
Understanding of Agile, DevOps and DataOps best-practices.
Experience with C++, LabVIEW, React, and/or Javascript/Typescript Programming Languages.
Experience with Azure Cloud Infrastructure/Systems.
Experience with JAMA Software Platform.
Experience with NI cDaq hardware, automated robotic arms, drive motors, and TCP communications protocols.
Experience with computer vision, machine learning, deep learning, or AI.
Experience with SQL or MongoDB database architecture.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Computer Science Computer Vision DataOps Deep Learning DevOps Engineering Git JavaScript Linux Machine Learning MongoDB Python R R&D React Research REST API SQL Testing TypeScript
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