Senior AI Engineer

US, MA, Boston, United States

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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: 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).

          

Senior AI Engineer

Role Overview:
The Edge AI team is looking for skilled AI engineers with DSP backgrounds to work on projects bridging these fields.  This role focuses on developing AI models that integrate digital signal processing (DSP) pipelines with neural networks. Your expertise will be instrumental in advancing our AI technologies for deployment on Analog Devices hardware platforms.

Key Responsibilities:

  • Design and optimize AI architectures that effectively integrate DSP pipelines with neural networks.
  • Participate in all phases of our ultra-applied projects: ideation through to production.
  • Collaborate with cross-functional teams to implement AI solutions tailored for various applications.
  • Prototype and evaluate machine learning models to meet specific performance and application requirements.
  • Stay to date and share advancements in AI and DSP research.

Qualifications:

  • Master’s degree or equivalent experience.
  • 2+ years of industry experience in AI, machine learning, or related areas.
  • Strong understanding of digital signal processing and its application to AI models.
  • Good understanding of neural networks (e.g., transformers, multimodal models, etc.) 
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and model optimization techniques.
  • Ability to work collaboratively with multidisciplinary teams and communicate technical concepts effectively.

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: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $108,800 to $149,600.
  • 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.

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Tags: Architecture Machine Learning ML models Pipelines PyTorch Research Security TensorFlow Transformers

Perks/benefits: Career development Health care Salary bonus

Region: North America
Country: United States

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