R&D Software Engineer, AI & Computational Platforms

Smith+Nephew•Pittsburgh, PA

About The Position

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living. Are you excited by turning advanced technical ideas into robust, scalable software that makes a real impact? Join us as an R&D Engineer within our AI and Computational Platforms team, where your software engineering expertise will help accelerate innovation across artificial intelligence, computational modeling, and simulation initiatives in a collaborative, purpose driven environment.

Requirements

A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field, or equivalent practical experience.
At least 3 years of professional software engineering experience, with strong proficiency in Python.
Experience improving and scaling technical codebases beyond one off prototypes, including testing, documentation, and readiness for broader engineering handoff.
Knowledge of software architecture, modular design, API development, and integration patterns.
Familiarity with modern software delivery practices such as source control, CI CD, containers, and cloud environments.
Ability to collaborate effectively within multidisciplinary and cross functional teams.

Responsibilities

Building software solutions that support AI and computational modeling and simulation projects, including proof of concept applications, internal tools, APIs, and technical workflows.
Partnering with data scientists, computational modelers, engineers, and cross functional stakeholders to improve code quality, structure, testing, documentation, and maintainability.
Establishing and promoting strong software engineering practices such as modular design, code review, version control, and development standards.
Developing software that integrates algorithms, models, simulation workflows, and data processing pipelines into usable applications and services.
Supporting integration patterns that connect research outputs with broader engineering and product-oriented systems.
Setting up and supporting Python development environments, dependency management, packaging workflows, and installers to improve reproducibility and ease of use.
Collaborating with platform and DevOps teams, applying familiarity with CI CD, containerization, and deployment practices.
Applying appropriate quality, security, and compliance minded practices within an enterprise and regulated medical technology environment.