Senior Staff Computer Vision/Machine Learning Deployment Engineer for xR

at  Stryker Corporation

WHY ENGINEERING AT STRYKER?

At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.
Need another reason to apply? Check out these 8 reasons to join Stryker’s engineering team: https://www.strykercareersblog.com/post/8-reasons-to-join-strykers-engineering-team
We are proud to be named one of the World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine! Learn more about our award-winning organization by visiting stryker.com

KNOW SOMEONE AT STRYKER?

Be sure to have them submit you as a referral prior to applying for this position. Learn more about our employee referral program on our referral page
Stryker is driven to work together with our customers to make healthcare better. Employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required, depending on customer requirements, to obtain various vaccinations as an essential function of their role

Technical Responsibilities:

• Lead software implementation of Computer Vision (CV) and Artificial Intelligence (AI) systems on edge devices (iPhone, iPad, Android Tablets, Nvidia platform, etc.) as an integral part of AI-powered medical technology platform for the operating room.
• Translate product feature requirements to design inputs / specifications and come up with high-level software design to meet requirements and guide design tradeoff decisions.
• Develop and design software components per requirements and architecture defined.
• Design algorithm evaluation frameworks, develop unit tests for algorithm components, schedule and report integration and system test performance on a regular basis adopting CI/CD principles for AI systems.
• Optimize and deploy algorithms (codebase, neural networks) on target hardware platforms, such as tablets and edge-computing devices to meet latency, memory, and performance requirements.
• Be the voice in the room that guides development work by ensuring work being done by the team is deployable in an end-to-end system.
• Generate and review the necessary documents with project teams (requirements, design, architecture, bugs, test).
• Perform Software verification and/or validation testing for the AI/CV sub-components of the system.
• Lead code reviews for projects/systems as an independent reviewer applying design principals, coding standards and best practices.