Staff ML Embedded Engineer

Ireland, Limerick

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Analog Devices

Analog Devices is a global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits to help solve the toughest engineering challenges.

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About Analog Devices

Analog Devices, Inc. (NASDAQ:Ā ADIĀ ) 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 Possibleā„¢. Learn more atĀ www.analog.comĀ and onĀ LinkedInĀ andĀ Twitter (X).

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Staff ML Embedded Engineer

Role Overview:
The Edge AI team is seeking aĀ Senior Embedded EngineerĀ with a strong background in embedded software development and experience in AI or DSP. This role focuses on developing software for Analog Devices’ AI SDKs and deploying machine learning models on our digital hardware platforms. You will work closely with AI engineers to optimize and implement solutions on embedded systems, ensuring high performance and efficient use of resources.

Key Responsibilities:

  • Develop and maintain embedded software for Analog Devices’ AI SDKs.
  • Optimize and deploy AI and DSP models on embedded hardware platforms and development kits.
  • Collaborate with AI engineers to optimize machine learning models into efficient embedded implementations.
  • Work with cross-functional teams to integrate software solutions into Analog Devices’ hardware platforms.
  • Debug, test, and validate embedded software to ensure reliability and performance.
  • Stay informed on advancements in embedded systems, AI, and DSP technologies.

Qualifications:

  • Bachelor’s or Master’s degree or equivalent experience.
  • 2+ years of industry experience in embedded software development.
  • Proficiency in C and C++ programming for embedded systems.
  • Experience with embedded development tools, such as debuggers, compilers, and IDEs.
  • Familiarity with AI or DSP concepts and their application in embedded systems.
  • Experience working with hardware platforms, development kits, and real-time operating systems (RTOS).
  • Strong problem-solving and debugging skills.
  • Ability to work collaboratively in a multidisciplinary team environment.

Preferred Skills:

  • Experience with model optimization techniques (e.g., quantization, pruning) for deployment on constrained hardware.
  • Familiarity with communication protocols (e.g., SPI, I2C, UART) and hardware interfaces.
  • Knowledge of Python for scripting and automation tasks.
  • Understanding of system-level design and performance trade-offs in embedded systems.

#LI-BF1

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export Ā 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. Ā 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.

Job Req Type: Experienced

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Required Travel: Yes, 10% of the time

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Shift Type: 1st Shift/Days
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

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Tags: Machine Learning ML models Python Security

Region: Europe
Country: Ireland

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