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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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Job Title: Senior Software Engineer, Edge Machine Learning

Analog Devices, Inc. is looking for a Senior Software Engineer, Edge Machine Learning, to join our Energy Software Team, part of End Market Software Solutions group. This is an opportunity to join a growing team that implements leading edge algorithms to monitor and ensure resilience of the electrical grid. The successful candidate will be a strong embedded software engineer with excellent communication skills and experience in deploying and tuning machine learning algorithms in embedded platforms.  The individual will be a strong team player who works well in a diverse environment.

Job Responsibilities.

• Design and develop software for Grid Monitoring embedded systems which include neural net accelerators.
• Work closely with AI engineers to adapt and tune ML models for the target edge computing platform.
• Combine ML inferences and other signals within the embedded systems to identify and report faults and/or perform appropriate response actions.
• Create all necessary documentation to support the embedded firmware design and communicate the essential concepts inside and outside the development team.
• Participate in code reviews, software standard and guidelines improvement.
• Develop and execute software unit and integration test plans.
• Analyze test results to ensure correct functionality and implement corrective action.
• Interact daily with geographically distributed Silicon Designers, Embedded Software Engineers, Applications Engineers, and other team members to develop software, resolve bugs, identify missing requirements etc.
• Provide customer support during Beta trials and post release.
• Comply with ADI licensing practices, code origin control and documentation.

Skill set required:

• Electronics, Electrical or Computer Science graduate.
• Minimum 5 years’ experience in designing and developing embedded software in C/C++ Language.
• Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems.
• Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI.
• Familiarity with neural network accelerators and strategies for efficient neural network execution on such hardware.
• Strong background in embedded software and computer architecture.
• Excellent problem-solving and troubleshooting skills.
• Proficient in C/C++ programming.
• Experience in designing and developing embedded applications using RTOS such as Zephyr, ThreadX, FreeRTOS etc.
• Experience with Git, Jira and Confluence.
• Strong written and verbal communication skills.

Travel Required: Yes, 10% of the Time

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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.