Staff Software Engineer Machine Learning Jobs in Pennsylvania

Staff Software Engineer (Pittsburgh, PA)

Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living!

Are you passionate about developing high-quality, scalable, and robust software solutions for medical applications? Do you thrive in a dynamic, collaborative environment where you can make a significant impact? If so, we have an exciting opportunity for you! We are seeking a talented Senior Software Engineer to join our team and help us enhance our digital presence and improve customer engagement.

What will you be doing?

As a Staff Software Engineer, you will be responsible for designing, developing, and implementing software solutions that meet the highest standards of quality and performance. Your key responsibilities will include:

• Software Development: You will develop and implement high-quality, scalable, and robust software solutions for medical applications using full-stack development principles. This includes applying knowledge of medical image processing and visualization techniques.
• Technical Leadership and Strategy: You will collaborate effectively with cross-functional teams, including product managers, product owners, and fellow engineers. You will actively participate in Agile development processes, including sprint planning, code reviews, and continuous improvement initiatives.
• Mentorship and Process: You will act as a peer coach and mentor to other engineers, fostering technical growth and collaboration. You will also participate in process design reviews and continuous improvement activities.

What will you need to be successful?

The ideal candidate will have a strong technical foundation, proven programming expertise, and a passion for solving complex problems in imaging and visualization.

Required Qualifications:

• A Bachelor's, Master's, or Ph.D. in Software Engineering, Computer Science, Electrical Engineering, or a related field
• 8+ years of professional experience in design and implementation of complex software components
• Strong programming skills in a compiled language such as C++, and experience developing production software in Python
• Experience designing and implementing front end efficient User Interfaces for C++ applications using OpenGL and/or modern UI frameworks (e.g. Qt)
• Experience with GPU programming (CUDA, OpenCL)
• Experience in designing and implementing software architecture
• Proficiency in image processing algorithms and libraries (e.g., OpenCV, ITK)
• Excellent communication, problem-solving, and collaboration skills

Preferred Qualifications:

• Experience with medical image visualization tools and techniques
• Proven track record in algorithm development

Bonus Skills:

• Knowledge of robotic systems
• Familiarity with edge computing platforms
• Experience in machine learning or deep learning, especially in segmentation, registration, or classification of medical images
• Experience with DICOM standards and PACS integration, or cloud-based deployment.

Travel:

Travel Requirements: Domestic / International - up to 15%

You Unlimited. We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

• Inclusion and Belonging- Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website ( https://www.smith-nephew.com/).
• Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Options, Tuition Reimbursement
• Work/Life Balance: Flexible Personal/Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day
• Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program
• Flexibility: Hybrid Work Model (For most professional roles)
• Training: Hands-On, Team-Customized, Mentorship
• Extra Perks: Discounts on fitness clubs, travel and more!

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Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.