Principal Engineer, AI/ML Software

Analog Devices, Inc.; Boston (MA); Hybrid; USD 230,475 - 300,000; Full time

Benefits offered by this job

Partial telecommute (3 days/week WFH)

Medical, vision and dental coverage

401k

Paid vacation, holidays and sick time

Job summary

Analog Devices, Inc. in Boston is seeking a Principal Engineer to design, build, and maintain robust MLOps software systems for production-grade AI/ML workloads.

You will deploy, monitor, and optimize ML pipelines on cloud-native platforms, collaborating with data scientists and software engineers, and driving automation with Terraform, Docker, Kubernetes, and CI/CD in a multi-cloud environment. Partial telecommute is available (3 days/week).

Qualifications

• End-to-end ML pipelines including data ingestion, preprocessing, model training, validation and deployment.
• Experience tracking experiments and model lifecycle with MLflow or CometML.
• Leadership of production ML platforms and pipelines with a small cross-functional team.
• Cloud-based scalable architectures with multi-cloud (AWS, GCP, Azure) and automation (Terraform).
• Containerization, orchestration with Docker/Kubernetes; CI/CD and IaC.

Responsibilities

• Design, build, and maintain robust MLOps software systems for production AI/ML workloads.
• Deploy, test, and monitor AI/ML models on cloud-native platforms and ensure production readiness.
• Develop ETL pipelines, automated workflows, and scalable data stores.
• Collaborate with data scientists and software engineers across stakeholders.
• Guide technology roadmap and evaluate emerging tools and technologies.

Skills

MLOps practices

Cross-functional leadership

Agile development

Experiment tracking

Education

Bachelor’s degree in Computer Science / Information Technology or related field

Master’s degree in Computer Science / Information Technology or related field

Tools

Docker

Kubernetes

Terraform

MLflow

Kubeflow

TensorFlow

PyTorch

Apache Airflow

Apache Kafka

Job description

## Principal Engineer, AI/ML SoftwareApplylocations: US, MA, Bostontime type: Full timeposted on: Posted Todayjob requisition id: R264071**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.**Employer:** Analog Devices, Inc.**Job Title:** Principal Engineer, AI/ML Software**Job Requisition:** 1010.557 / R264071 **Job Location:** Boston, Massachusetts**Job Type:** Full Time**Rate of Pay:** $230,475 - $300,000 per year**Duties:** Design, build, and maintain robust MLOps (Machine-Learning Operations) software systems. Support the development, deployment, testing, and monitoring of AI/ML models on modern cloud-native platforms. Collaborate with data scientists, software engineers, and stakeholders to operationalize AI/ML solutions and ensure their production readiness. Implement and maintain ETL pipelines, automated workflows, and scalable data stores. Ensure high standards of model performance, security, and scalability through continuous monitoring and enhancement of software infrastructure. Guide the MLOps technology roadmap and evaluate emerging tools and technologies to enhance platform capabilities. Utilize MLOps frameworks such as Kubeflow and MLflow, and work with containerization and orchestration tools including Docker and Kubernetes. Deploy infrastructure using Terraform and manage cloud-based resources on platforms such as GCP, AWS, and Azure. Contribute to Agile development processes and cross-functional team collaboration.Partial telecommute benefit (3 days/week WFH).**Requirements:** Must have a Bachelor’s degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and five (5) years of experience as a software engineer building and maintaining machine learning software workflows.In the alternative, Master’s degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and three (3) years of experience as a software engineer building and maintaining machine learning software workflows.Must also possess the following (quantitative experience requirements not applicable to this section):* Demonstrated Expertise (“DE”) designing, developing, and maintaining end-to-end machine learning (ML) pipelines, including data ingestion, preprocessing, model training, validation, and deployment (using PyTorch or TensorFlow); and managing experiment tracking and model lifecycle with MLflow or CometML;* DE in technical leadership of production ML platforms and pipelines—leading a small, cross-functional team; setting standards, running design/code reviews, and mentoring junior engineers;* DE building scalable systems on cloud platforms, with hands-on experience designing fault-tolerant architectures, distributed training setups, multi-cloud strategies (using AWS, GCP, or Azure), and automating infrastructure tasks with Linux and shell scripting;* DE in containerization, orchestration, and MLOps/DevOps practices, including deploying ML models and pipelines with Docker and Kubernetes; implementing CI/CD and infrastructure-as-code (Terraform or AWS CloudFormation); and setting up monitoring and observability (Prometheus and Grafana);* DE developing distributed data processing pipelines for real-time or batch ML workflows (using Apache Airflow and Apache Kafka); and* DE leading the design, building, and maintenance of scalable, robust, and secure RESTful APIs and microservices architectures using Python, with knowledge of computer networks and protocols.**Contact:** Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R264071.*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: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days* 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.