Software Engineer

Siemens Healthineers AG; Newton (MA); On-site; USD 115,000 - 158,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Job summary

Siemens Healthineers AG invites a Software Engineer to design, integrate, and validate remote connectivity for the ARIES program. You will collaborate with software, systems, and networking experts to enable secure, scalable long-distance operation and data exchange.

The role requires hands-on experience with C++ and Python, DDS middleware, containerized environments (Docker/Kubernetes/VMs), and streaming workflows for image/video data. Medical robotics context is a plus.

Qualifications

• Minimum 3 years of professional software engineering experience with C++ and Python, in robotics or distributed systems.
• Experience designing or troubleshooting remote connectivity infrastructure (VPNs, VLANs, routing, firewalls).
• Experience with DDS or comparable middleware and tuning QoS for distributed systems.
• Experience building containerized/virtualized environments (Docker, Kubernetes, VMs).
• Experience with image/video streaming across networks using GStreamer, ROS, or DDS-related tools.
• Experience with GPU-enabled software environments for real-time data processing.
• Experience building monitoring, diagnostics, and observability interfaces.
• Experience writing tests, CI pipelines, and technical documentation.
• Familiarity with AI-assisted coding tools to support development workflows.

Responsibilities

• Define remote connectivity requirements and integration concepts with software and systems teams.
• Design and integrate remote connectivity infrastructure (VPNs, VLANs, routing, secure configurations).
• Configure QoS for middleware to support reliable long-distance communication.
• Develop reusable software infrastructure for containerized/virtualized environments.
• Extend protocols to exchange data and operational metadata across systems.
• Implement monitoring and liveliness reporting for connectivity links.
• Enable streaming of image/video across WANs using streaming frameworks and GPU pipelines.
• Support testing, automation, documentation, reviews, and continuous improvement.

Skills

C++

Python

Networking

DDS middleware

Docker

Kubernetes

Virtual machines

GStreamer

NVIDIA Holoscan

ROS

GPU processing

CI / Testing

AI-assisted coding

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Docker

Kubernetes

Virtual Machines

GStreamer

NVIDIA Holoscan

ROS

DDS

Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Position Summary

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.

• 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.

Required experience to have for the success of this role:

• 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.

Ideal Candidate Profile

• 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.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$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.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affಳive 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. To learn more, click here.

Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.”

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To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.