Software Engineer

The Software Engineer will be responsible for designing, integrating, and validating remote connectivity communication and hosting infrastructure for the ARIES (Autonomous Robotics & Imaging Ecosystem for Stroke) program.

Working closely with software engineers, system architects, networking specialists, and other engineering contributors, this role will support the integration of long-distance communication capabilities across distributed robotic and computational systems. The position requires hands-on experience with networking, middleware configuration, containerized or virtualized environments, GPU-enabled software frameworks, and robust software engineering practices to enable reliable remote operation, monitoring, testing, and scalability.

As a Software Engineer you will be responsible for:

• Collaborate with software engineers, system architects, networking specialists, and other contributors to define remote connectivity requirements and integration concepts.
• Design and integrate remote connectivity infrastructure, including VPNs, VLANs, routing concepts, and secure network configurations for distributed systems.
• Configure and tune quality of service parameters for DDS or comparable middleware to support reliable long-distance communication across wide area networks.
• Develop reusable software infrastructure for hosting and orchestrating containerized or virtualized software environments across computational platforms.
• Extend existing remote connectivity protocols to exchange additional system data, status information, and operational metadata.
• Implement software components that monitor, report, and expose the liveliness, quality, and health of remote connectivity links so external systems can observe communication status and performance.
• Enable image and video stream transmission across wide area networks using appropriate streaming frameworks, middleware, and GPU-enabled processing pipelines.
• Support continuous testing, automation, documentation, code reviews, troubleshooting, and ongoing improvement of the remote connectivity software infrastructure.

• Minimum 3 years of professional software engineering experience with C++ and Python, preferably in robotics, distributed systems, networking, embedded systems, or comparable cyber-physical environments.
• Hands-on experience designing, integrating, or troubleshooting remote connectivity infrastructure such as VPNs, VLANs, routing configurations, firewalls, and secure network communication.
• Experience with DDS or comparable middleware, including configuration and tuning of quality of service parameters for reliable distributed communication.
• Experience developing reusable software infrastructure for containerized or virtualized environments, including Docker, Kubernetes, virtual machines, or comparable technologies.
• Experience with image or video streaming across networks using frameworks such as GStreamer, NVIDIA Holoscan, ROS, DDS, or comparable technologies.
• Practical experience with GPU-enabled software environments, acceleration frameworks, and computational platforms used for real-time data or image processing.
• Experience developing monitoring, diagnostics, liveliness reporting, or software interfaces that expose communication quality metrics to external applications or observability tools.
• Experience creating test cases and contributing to continuous integration, automated testing, validation pipelines, and technical documentation.
• Familiarity with using AI-assisted coding technologies to support software development, code review, documentation, testing, or debugging workflows.

Preferred Experience

• Prior experience developing remote connectivity, teleoperation, distributed robotics, medical robotic platforms, autonomous systems, or image-guided therapy systems.
• Experience with ROS, NVIDIA Holoscan, GStreamer, DDS implementations, or comparable middleware and streaming frameworks.
• Experience integrating software with real hardware, sensors, actuators, GPUs, edge computers, cloud resources, or other computational platforms.
• Experience with medical device development, regulated product development, or safety-critical software is a plus.
• Willingness to learn new technologies, adapt to evolving technical needs, and contribute in a fast-moving research and development environment.

Education Required

• Bachelor’s degree in Computer science, Software Engineering, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field.

Education Preferred

• Master’s degree or specialized training in robotics, distributed systems, real-time systems, or medical device software development.

$114,920 - $158,015

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company’s plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

• Has built robust software infrastructure for remote connectivity, distributed communication, containerized deployments, or virtualized development and test environments.
• Works effectively with software, networking, systems, and hardware teams to clarify requirements and solve complex integration challenges.
• Writes clean, maintainable, well-documented code and understands the importance of testability, automation, diagnostics, and operational reliability.
• Uses AI-assisted coding tools thoughtfully to improve development efficiency while maintaining engineering ownership, code quality, and understanding.
• Is curious, adaptable, and willing to learn new tools and technologies while contributing to a complex medical robotics program.

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 and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.