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Siemens Healthineers Point of Care R&D is seeking a Software Developer Engineer to join our global software organization. This role will contribute to the design, development, verification, and maintenance of software used in regulated Point of Care diagnostic products and the tooling to support it.
The successful candidate will work closely with software, systems, quality and product security teams to deliver high-quality solutions that improve patient care while meeting regulatory, security and quality requirements.
We are seeking a strong software engineer with modern development skills, a passion for automation, and a demonstrated ability to leverage AI to improve engineering productivity and software quality.
Key Responsibilities
- Design, develop, maintain, and enhance software applications and platform components.
- Participate in all phases of the software development lifecycle, including requirements, design, implementation, verification, release, and support.
- Develop software using one or more modern technology stacks, such as Java/Kotlin, C#/.NET, or TypeScript/React.
- Create and maintain automated unit, integration, system, and regression test solutions.
- Develop scripts and automation that improve software builds, testing, deployment, engineering workflows, and development efficiency.
- Support development and test environments used for medical device software integration, verification, stability and performance testing.
- Work within a regulated medical device environment and support software quality, cybersecurity and risk management activities.
- Collaborate across global engineering teams including software development, systems engineering, verification, product security, and quality.
- Investigate software defects, perform root cause analysis, and implement corrective actions.
- Participate in code reviews, architecture discussions, and technical design activities.
- Contribute to reusable software initiatives across multiple products.
AI-Driven Software Engineering
AI-enabled development is a core expectation for this role. The successful candidate should demonstrate the ability to leverage modern AI technologies to improve software quality, engineering productivity, and development velocity.
This includes:
- Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, Claude or similar technologies.
- Understanding of prompt engineering, basic agentic AI workflows, Retrieval-Augmented Generation (RAG) and AI-assisted software engineering practices.
- Applying AI to code generation, test automation, code review, debugging, documentation, root cause analysis and software verification activities.
- Identifying opportunities to improve development efficiency and quality through AI-driven automation.
- Ability to exercise engineering experience and apply appropriate human oversight when using AI-generated outputs in a regulated environment.
Required Qualifications
- Bachelor\'s degree in Computer Science, Software Engineering, Computer Engineering, or related technical field.
- 3-6 years of software development experience.
- Strong proficiency in at least one modern software development stack, such as Java/Kotlin, C#/.NET, or TypeScript/React, with the ability to learn and work across related technologies as needed.
- Experience developing software for Android, web, and/or Windows-based applications.
- Experience developing automated tests and utilizing test automation frameworks.
- Experience with source control systems, build automation, and CI/CD pipelines.
- Experience with scripting languages such as Python, shell scripting, PowerShell, or Groovy.
- Strong problem-solving, debugging, and analytical skills.
- Excellent verbal and written communication skills.
- Ability to work effectively in a collaborative, cross-functional environment.
Preferred Qualifications
- Medical device software development experience.
- Knowledge of IEC 62304 software lifecycle processes.
- Experience with software verification and validation activities.
- Familiarity with cybersecurity and secure software development practices.
- Working knowledge of Windows and Linux operating systems and software development environments.
- Experience with cloud-native technologies, APIs, and modern software architectures.
- Experience applying AI technologies to real-world software engineering workflows.
- Experience developing automated test frameworks and test infrastructure.
Who we are
We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes