Senior Backend Software Engineer
Analog DevicesAbout the role
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 & development group within Analog Devices, Inc. is seeking a collaborative, self-driven software engineer with exceptional software development and optimization experience. The ideal candidate should possess strong back-end skills. They should also have experience writing software for hardware devices. The candidate should be self-driven, willing to work as part of a team, and comfortable using critical-thinking skills and creativity to tackle ambiguous tasks.
Job specific tasks
Design, develop, and maintain software for biomedical, diagnostic, and scientific instrumentation systems.
Develop APIs, cloud services, and data pipelines for various detection and analysis systems.
Implement and optimize software for real-time control and data acquisition, analytics, and monitoring.
Analyze customer and internal requirements and specifications and translate these into software requirements and designs.
Participate in the continuous improvement of software development processes and tools.
Collaborate with cross-functional teams, including hardware engineers, process engineers, biomedical engineers, and laboratory personnel.
Technical requirements
Strong candidates will possess many of the following qualifications:
Expert level proficiency with Python and corresponding stack of relevant libraries (FastAPI, Pydantic, SQLModel, PyTorch etc)
Extensive experience using at least one of the following databases: MySQL, ClickHouse, MongoDB, including building migrations, debugging ORM/ODMs shortcomings
Experience delivering production software across Linux-based embedded devices, Windows, and macOS environments.
Demonstrated experience developing distributed ML training and inference systems using Ray or comparable distributed computing frameworks.
Building and scaling cloud ap
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