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Senior Engineer, AI/ML Software

Role overview

Qualifications

  • Master’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, or related discipline
  • Three years of experience in assessing and deploying AI/ML solutions
  • Demonstrated expertise in building AI software architectures and deploying systems in cloud platforms
  • Experience with Python, JavaScript, C/C++, and frameworks like Pytorch and scikit-learn

Responsibilities

  • Design, develop and maintain scalable AI/ML systems
  • Collaborate with cross-functional teams to gather requirements
  • Lead the development of end-to-end AI/ML pipelines
  • Monitor AI/ML system performance and troubleshoot issues

About the company

Analog Devices  logo

Analog Devices

Semiconductors

Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA. Visit https://www.analog.com.

Company details

Company typeLarge
IndustrySemiconductors
Company size10001

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Job description

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: Senior Engineer, AI/ML Software

Job Requisition: 1010.1548.1 / R263313 

Job Location: Boston, Massachusetts

Job Type: Full Time

Rate of Pay: $178,131 - $216,000 per year

[multiple openings]

Duties:    Design, develop and maintain scalable and efficient Artificial Intelligence/Machine Learning (“AI/ML”) systems that solve complex problems. Collaborate with cross-functional teams, including product managers, UX designers, and software engineers to gather requirements and design appropriate solutions. Lead the development of end-to-end AI/ML pipelines, including data preprocessing, model training, prompt engineering, and performance evaluation. Participate in code reviews, architecture discussions, and technical planning. Optimize AI/ML model performance and ensure robustness, fairness, and explainability. Monitor AI/ML system performance, troubleshoot issues, and provide timely resolutions. Implement data security and privacy measures to protect sensitive information. Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes. Stay up to date with emerging trends and technologies in the fields of AI and ML. Mentor junior engineers and contribute to best practices in AI/ML development.

Partial telecommute benefit (2 days/week work from home).

Requirements: Must have a Master’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Data Engineering, Analytics or closely related technical discipline (willing to accept foreign education equivalent) and three (3) years of experience in the proffered job or related occupation assessing and deploying AI/ML solutions to meet business needs.

Must also possess the following (quantitative experience requirements not applicable to this section):

  • Demonstrated Expertise (“DE”) building modern AI software architectures with microservices, serverless functions, and fault-tolerant distributed systems, and deploying these systems in cloud platforms such as Azure, AWS, and GCP.
  • DE applying agile development, SOLID principles, design patterns, version control, code review, debugging, documentation, linting, unit/integration testing, and CI/CD software engineering best practices to create well-designed software solutions.
  • DE with Python and complementary languages including JavaScript and C/C++.
  • DE using frameworks including LangChain, LangGraph, LlamaIndex, Pytorch, scikit-learn, and XGBoost to train, evaluate, and optimize generative AI and predictive ML models, and to create agentic AI systems that can solve complex problems through dynamic tool usage, reasoning, and deep thought.
  • DE using SQL, NoSQL, and vector database systems, such as PostgreSQL and pgvector, to create optimized storage backends for RAG applications.
  • DE building applications with containerization technologies such as Docker and Kubernetes.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R263313.

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: No

          

Shift 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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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