Stryker (501+ Employees, 18% 2 Yr Employee Growth Rate)

8% 1-Year Employee Growth Rate | 18% 2-Year Employee Growth Rate | LinkedIn | $0 Venture Funding

What Is Employee Growth Rate & Why Is It Important?

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:

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

Our benefits include bonuses; commissions; healthcare; insurance benefits; retirement programs; stock based plans; paid time off plans; family and parenting leaves; tuition reimbursement; wellness programs; onsite fitness centers and cafeterias; discount purchase programs; and service and performance awards – not to mention various social and recreational activities.

It’s time to join Stryker!

What will you do?

In this position, you will be part of a highly talented, award-winning Silicon Valley team focused on developing cutting edge artificial intelligence (AI) and computer vision-based medical technologies for the operating room and hospitals. The Stryker AI team comprises industry visionaries, scientists and engineers dedicated to developing technologies that change the way care is provided in the operating room, and you should be one of them. You will join a team that brought one of the first AI-driven medical devices to the operating room the Triton Blood Loss app and spawned an entirely new type of AI-enabled FDA-cleared medical device. You will help us with many new innovations in the works that need skilled, creative, and inventive people to make them a reality.

In this role, you will work along with a team of applied scientists, software engineer and clinical engineers to research, design, develop, and deploy computer vision and deep learning-based algorithms into existing and new medical device products. This is a unique, high visibility opportunity for a technical leader who wants to make business impacts, and dive deep into computer vision problems. We are particularly interested if you have experience productizing edge-based computer vision systems.

Technical responsibilities

  • You will 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.
  • You will translate product feature requirements to design inputs / specifications and come up with high-level software design to meet requirements and guide design tradeoff decisions.
  • You will develop and design software components per requirements and architecture defined
  • You will design algorithm evaluation frameworks, write unit tests for algorithm components, schedule and report integration and system test performance on a regular basis adopting CI/CD principles for AI systems
  • You will 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
  • You will generate and review the necessary documents with project teams (requirements, design, architecture, bugs, test)
  • You will perform Software verification and/or validation testing for the AI / CV sub-components of the system
  • You will lead code reviews for projects/systems as an independent reviewer applying design principals, coding standards and best practices

What you need (Required):

  • Bachelor’s degree in Software Engineering/ Computer Science or related discipline
  • 2+ years of related work experience
  • C++ language experience

Preferred Qualifications (Strongly desired):

  • 2+ years of relevant industry experience) in implementation of computer vision, machine learning and/or deep learning projects into edge environments such as iOS, Android and/or Nvidia Jetson platform
  • Working knowledge of Swift/Objective-C or Kotlin / JAVA for algorithm integration
  • Demonstrated understanding of computer vision, image analysis, image registration,, sensor fusion, machine learning and deep learning algorithm building blocks.
  • Experience working with libraries such as OpenCV, DLib, Tensorflow / TFlite, TensorRT, TorchScript, Boost C++ libraries for numerical computation, etc
  • Experience in writing reusable, cross-platform, scalable, multi-threaded, test-driven and well documented codebase
  • Demonstrated ability to systematically troubleshoot and debug complex computer vision and ML systems errors and have high levels of independence and technical ownership
  • Bonus for:
    • Experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.
    • Experiencing implementing products driven by deep learning algorithms

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 at

About Stryker

Stryker is one of the world’s leading medical technology companies and, together with our customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes.

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

Tagged as: 501+ Employees, Hide US-Only Jobs, Venture Funded

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