Software Engineer
499x Siemens Healthineers Endovascular Robotics, Inc.
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Benefits offered by this job
Job summary
Siemens Healthineers is seeking a Software Engineer to design, integrate, and validate remote connectivity for the ARIES program. You will work with robotics, networking, and software teams to enable secure, scalable long-distance operation across distributed systems.
Required 3+ years in C++/Python, DDS middleware, and containerized environments. Experience with GPU-accelerated processing and streaming is a plus. This role supports a cutting-edge medical robotics platform.
Qualifications
- 3+ years of professional software engineering in robotics, distributed systems, or cyber-physical environments.
- Experience designing and Troubleshooting remote connectivity like VPNs, VLANs, and secure networking.
- Proficient with DDS or similar middleware and QoS tuning for reliable distributed comms.
- Experience in containerized or virtualized environments (Docker/Kubernetes/VMs).
- Experience streaming video/images over networks using GStreamer, ROS, or DDS workflows.
- Hands-on with GPU-enabled software, real-time data processing, and observability tools.
Responsibilities
- Collaborate to define remote connectivity requirements and integration concepts.
- Design and integrate remote connectivity infrastructure across distributed systems.
- Tune QoS for DDS and ensure reliable long-distance communication.
- Develop reusable infrastructure for containerized/virtualized environments.
- Extend protocols to exchange additional system data and health metrics.
- Implement components to monitor liveliness and performance of remote links.
- Enable image/video transmission over WANs using streaming frameworks and GPU pipelines.
- Support testing, automation, documentation, and ongoing improvement.
Skills
Education
Tools
Job description
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.
- 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.
- Bachelor’s degree in Computer science, Software Engineering, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field.
- Master’s degree or specialized training in robotics, distributed systems, real‑time systems, or medical device software development.
- 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.
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.
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.
$114,920 - $158,015
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.
Siemens Healthineers is an Equal Opportunity and Affirmitive Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law: Applicants and employees are protected under Federal law from discrimination.
Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form.
If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.
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