Senior Engineer, AI/ML Software

Reposted 10 Days Ago
Be an Early Applicant
Boston, MA, USA
In-Office
178K-216K Annually
Senior level
Artificial Intelligence • Hardware • Automation • Manufacturing
The Role
Design, develop, and maintain scalable AI/ML systems and end-to-end pipelines (data preprocessing, model training, prompt engineering). Collaborate cross-functionally, optimize model performance, ensure fairness and security, monitor production systems, troubleshoot issues, mentor junior engineers, and recommend improvements to data infrastructure and tooling.
Summary Generated by Built In

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.

Skills Required

  • Master's degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Data Engineering, Analytics or closely related technical discipline (or foreign equivalent)
  • Three years of experience assessing and deploying AI/ML solutions to meet business needs
  • Demonstrated expertise building modern AI software architectures with microservices, serverless functions, fault-tolerant distributed systems, and deploying on Azure, AWS, or GCP
  • Demonstrated expertise applying agile development, SOLID principles, design patterns, version control, code review, debugging, documentation, linting, unit/integration testing, and CI/CD best practices
  • Demonstrated expertise with Python and complementary languages including JavaScript and C/C++
  • Demonstrated expertise using frameworks including LangChain, LangGraph, LlamaIndex, PyTorch, scikit-learn, and XGBoost for generative AI and predictive ML models
  • Demonstrated expertise using SQL, NoSQL, and vector database systems such as PostgreSQL and pgvector for optimized RAG storage backends
  • Demonstrated expertise building applications with containerization technologies such as Docker and Kubernetes

Analog Devices Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.

  • Retirement Support The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
  • Healthcare Strength Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
  • Leave & Time Off Breadth Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.

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The Company
HQ: Wilmington, MA
20,292 Employees
Year Founded: 1965

What We Do

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.

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