À propos de ce poste Senior Backend Software Engineer chez Analog Devices
About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
A rapid research and development group within Analog Devices, Inc. is seeking a collaborative, self-driven Software Engineer to help develop next-generation medical technologies, diagnostic platforms, and scientific instrumentation systems.
The ideal candidate combines strong software engineering expertise with experience developing software for medical devices, healthcare technologies, laboratory instrumentation, diagnostic systems, or other regulated products. This individual will work closely with biomedical engineers, scientists, hardware engineers, and clinical stakeholders to build reliable, scalable software solutions that support healthcare innovation.
The successful candidate is comfortable working in an R&D environment, solving complex multidisciplinary problems, translating experimental concepts into production-ready systems, and navigating the unique challenges of software development in regulated or quality-driven environments.
Key Responsibilities
Design, develop, and maintain software for medical devices, diagnostic systems, biomedical instrumentation, and laboratory automation platforms.
Collaborate with biomedical engineers, clinicians, scientists, laboratory personnel, and hardware engineers to define system requirements and translate them into robust software solutions.
Contribute to system architecture decisions spanning embedded systems, instrumentation, cloud platforms, and user-facing applications.
Execute healthcare interoperability including EMR integration, HL7, FHIR, leverage healthcare interoperability frameworks including IHE and DICOM, implement laboratory analytical workflows.
Implement and optimize software for real-time control, sensor integration, data acquisition, signal processing, analytics, and monitoring applications.
Develop APIs, cloud services, and secure data pipelines supporting healthcare, diagnostic, and scientific workflows.
Develop scalable machine learning and data-processing solutions for detection, classification, analytical, or diagnostic applications.
Support the development of software that meets quality, reliability, and traceability expectations commonly found in regulated industries. Participate in software verification, validation, documentation, and continuous improvement activities.
Technical Requirements
Strong candidates will possess many of the following qualifications:
Software Development
Expert-level proficiency in Python and modern software development frameworks (FastAPI, Pydantic, SQLModel, PyTorch, or similar).
Experience developing software for medical devices, diagnostic instruments, laboratory equipment, healthcare technologies, scientific instrumentation, or other mission-critical systems.
Experience developing and maintaining production software across Linux-based embedded devices, Windows, and macOS environments.
Strong understanding of hardware/software integration, instrument control, device communications, and sensor-driven systems.
Implementation of LIS/LIMS, EHR/EMR, VNA/PACS integrations with systems like Epic Beaker, Mirth, Oracle Cerner.
Data & Cloud Technologies
Hands-on experience with healthcare interoperability standards such as HL7, FHIR, DICOM.
Extensive experience with relational databases such as MySQL, ClickHouse, PostgreSQL, or MongoDB, including schema design, migrations, and ORM/ODM troubleshooting.
Experience designing and scaling cloud-based applications using AWS, Kubernetes, and modern observability/monitoring solutions.
Experience building distributed machine learning training and inference systems using Ray or comparable distributed computing frameworks.
Experience implementing secure architectures for healthcare, scientific and regulated data environments.
Software Engineering Excellence
Experience with GitHub CI/CD, containerization, Infrastructure as Code (AWS CDK, Terraform), automated testing, and deployment pipelines.
Demonstrated expertise in performance optimization, scalability, load testing, software distribution, and application security.
Strong understanding of software architecture, system design, reliability engineering, and full-stack application development.
Preferred Qualifications
Experience developing software within a regulated medical device, diagnostics, biotechnology, pharmaceutical, healthcare, or laboratory environment.
Familiarity with software quality and regulatory frameworks such as: FDA medical device development processes, IEC 62304 (Medical Device Software), ISO 13485, Design Controls, Software Verification & Validation (V&V), Software as a Medical Device (SaMD)
Experience working with biomedical signals, medical sensors, diagnostic workflows, laboratory automation systems, imaging systems, or clinical data platforms.
Experience with Go, Rust, C, C++, or embedded Linux development.
Recent hands-on experience building and maintaining production Python systems.
Non-Technical Requirements
Willingness to live in Massachusetts and work onsite as required.
Ability to thrive in multidisciplinary environments and collaborate effectively with engineers, scientists, clinicians, and healthcare stakeholders.
Strong problem-solving, critical-thinking, and communication skills.
Ability to work independently while providing clear status updates and realistic estimates.
Commitment to continuous learning and improving both technical capabilities and team outcomes.
Passion for developing technologies that improve healthcare, diagnostics, and patient outcomes.
Qualifications
Bachelor's Degree or higher in Computer Science, Software Engineering, Computer Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, or a related technical field. Equivalent practical experience will also be considered.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $116,960 to $160,820.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
