Description
Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing.
You have spent years building software that sits at the intersection of science and engineering, and you understand that the best code is the code that actually solves the problem a clinician or researcher is trying to answer.
What You'll Be Doing
- Design and implement product features in C++ and Python, including numerical routines, data processing pipelines, algorithms, and user-facing components for healthcare and life sciences simulation applications
- Build orchestration systems for multi-step scientific workflows, managing project state, job execution, persistence, versioning, error handling, and performance of long-running computations
- Translate business, clinical, and technical requirements into maintainable software features, testable user stories, acceptance criteria, and clear engineering tasks
- Write unit, integration, and regression tests, profile performance-critical code, apply reliability patterns, improve observability, and follow secure coding practices to ensure production quality
- Standardize and maintain CI/CD pipelines using GitHub Actions, including automated builds, tests, static analysis, packaging, release workflows, and traceable quality gates
- Collaborate with product owners, domain experts, and software engineers throughout the product development lifecycle, contributing to architecture decisions and design reviews
- Participate in Agile development activities including sprint planning, reviews, and retrospectives, while supporting continuous improvement of development processes and engineering best practices
The Impact You Will Have
- Enable clinicians and researchers to run complex simulations that inform real medical decisions, from device design to treatment planning
- Deliver robust scientific workflows that handle production workloads reliably, reducing time from data to insight for engineering and clinical teams
- Improve software quality and maintainability across the simulation platform, making it easier for the team to add features and respond to customer needs
- Accelerate development cycles through well-architected CI/CD pipelines and DevOps practices that catch issues early and deploy with confidence
- Shape the technical direction of the simulation product through thoughtful architecture decisions and design contributions that balance performance, maintainability, and user needs
- Build software that meets regulatory and quality standards required in medical device and life sciences environments
- Support the growth of engineering best practices across the team, raising the bar for how scientific simulation software is built and delivered
What You'll Need
- Bachelor's or Master's degree in Computer Science, Biomedical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical discipline with 3-6 years of software development experience
- Strong proficiency in C, C++, and Python with practical knowledge of object-oriented design, data structures, algorithms, debugging, and performance optimization
- Experience developing software solutions for Healthcare, Life Sciences, Medical Devices, or other scientific and engineering domains
- Practical familiarity with DevOps practices including Git-based workflows, automated testing, CI/CD pipelines, artifact management, and release support
- Experience using AI-assisted programming and testing tools to accelerate development, generate tests, review code, and maintain quality standards
- Familiarity with modern software architecture and API development, including modular design, service interfaces, versioned APIs, dependency management, and maintainable integration patterns
- Experience with multiphysics simulation products such as finite element analysis (FEA), computational fluid dynamics (CFD), fluid-structure interaction, or biomechanics is a strong plus, as is experience in medical image analysis, cloud computing, machine learning, or computational modeling
Rewards and Benefits
- Comprehensive medical and healthcare plans that work for you and your family
- In addition to company holidays, we have ETO and FTO Programs
- Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more
- Purchase Synopsys common stock at a 15% discount, with a 24 month look-back
- Save for your future with our retirement plans that vary by region and country
- Competitive salaries
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://careers.synopsys.com/job/paris/r-and-d-engineering-sr-engineer-biomechanical-software-f-m/44408/101580799808