Stryker

Compensation

Full Description

As a Senior Software Engineer - Lab Automation, you will work with a cross-functional team of software, mechanical, and test engineers to support the development of new medical devices at Stryker. Responsibilities for this position include using hardware and software to develop custom electro-mechanical automated systems, providing networked and cloud-based software solutions, creating data measurement and analysis services, simulating physical set ups, monitoring equipment, and automating testing to evaluate design prototypes and speed New Product Development (NPD). What You Will Do • Provide computer engineering support for the design, development, deployment and maintenance of new and existing networked and cloud-based software to operate electro-mechanical test systems, ensuring that all activities are completed and documented in accordance with the Stryker procedures. • Ensure quality of processes and systems as defined in the appropriate operation and systems specifications. • Provide input on best practices related to software design, architecture, and development strategy • 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.