Principal AI Platform Engineer Full-time

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 $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

As a Principal AI Platform Engineer in the Edge AI Solutions group at Analog Devices, you will be responsible for designing, building, and maintaining scalable and robust MLOps and DataOps capabilities to power our future AI platform for the Edge. The platform will enable the development and deployment of machine learning models for the Edge supporting the entire AI lifecycle, from edge-to-cloud data acquisition and ingestion to model training, deployment, and monitoring. You will work closely with machine learning and software engineers to ensure the platform meets the customer’s needs and enables efficient ML and Data operations.

Responsibilities:

• Design and develop scalable AI platforms to support end-to-end Edge AI workflows and to handle large-scale data and compute workloads.

• Build ML pipelines to support the development, experimentation, deployment, testing, and monitoring of Edge AI/ML models

• Work closely with data scientists, software engineers, hardware engineers, and stakeholders to productize, deploy, and maintain Edge AI/ML models

• Monitor the performance, security, and scalability of ML infrastructure and continuously explore ways to enhance data quality and reliability

• Guide the MLOps and DataOps platform technology roadmap and identify opportunities to gain a competitive advantage

• Stay up to date with the latest developments in ML and data technologies and tools

Qualifications:

• 8+ years of experience in software engineering, ML engineering, MLOps, or related fields, with proven experience in developing and maintaining scalable AI platforms.

• Experience using MLOps, and DataOps frameworks such as Kubeflow, MLFlow, Airflow, etc.

• Working knowledge of common ML frameworks such as TensorFlow, PyTorch, etc.,

• Proficiency with one or more programming languages (Python preferred)

• Expertise in containerization and orchestration using technologies such as Kubernetes

• Experience with cloud platforms such as Azure, AWS or GCP.

• Experience with Agile/Scrum development processes and tools (e.g., Jira, Confluence, etc.)

• Bachelor’s degree in Computer Science or related field.

• Bonus: Experience with Edge AI products or platform development and familiarity with Edge AI optimization and runtime frameworks
• #LI-NA1

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.

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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 $211,600 to $290,950.

• 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.