Siemens Healthineers is seeking a Software Engineer to support the ARIES program by designing, integrating, and validating remote connectivity communication and hosting infrastructure. In this onsite role in Newton, MA, you will help enable long-distance communication across distributed robotic and computational systems, spanning networking, middleware, containerized or virtualized environments, GPU-enabled processing, and reliable remote operation.
Role Summary
The work focuses on remote connectivity that supports dependable wide area network communication for distributed systems. You will contribute to infrastructure and software components that handle secure networking, middleware quality of service, hosting orchestration, media streaming, and operational monitoring across remote links.
Key Responsibilities
- Partner 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 over 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 components that monitor, report, and expose the liveliness, quality, and health of remote connectivity links for external observation.
- 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.
Required Qualifications
- 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 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 for real-time data or image processing.
- Experience with 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.
Technologies and Tools
- C++, Python
- VPNs, VLANs
- DDS
- Docker, Kubernetes, virtual machines
- GStreamer, NVIDIA Holoscan, ROS
- GPU-enabled software environments and GPU-enabled processing pipelines
- Continuous integration, automated testing, validation pipelines, AI-assisted coding technologies
- Quality of service parameters, wide area networks
- Containerized or virtualized environments
Benefits
- 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
Additional Preferences
- 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
Bachelor’s degree in Computer science, Software Engineering, Robotics, Electrical Engineering, Biomedical Engineering, o
Master’s degree or specialized training in robotics, distributed systems, real-time systems, or medical device software development is preferred.
Location: Newton, MA (onsite). Compensation: USD 118,300 - 162,668 per yearly.
