Senior Robotics Test Engineer

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 atwww.analog.comand onLinkedInandTwitter (X).

Senior AI/ML Software Engineer

About the Role As a Senior AI/ML Software Engineer, you will lead the development of machine learning solutions with minimal guidance. You will be responsible for designing and optimizing algorithms, mentoring junior engineers, and driving technical decisions. This role requires the ability to solve diverse problems through analysis of multiple factors, collaborate with stakeholders, and implement best practices across ML projects to ensure high-quality, scalable solutions.

Key Responsibilities

• Independently develop and deploy end-to-end ML solutions for complex business problems
• Lead small to medium-sized ML projects from conception through implementation
• Design and optimize algorithms to improve performance, accuracy, and efficiency
• Drive technical decisions and establish ML engineering best practices
• Mentor junior engineers in ML techniques, system design, and best practices
• Design complex ML architectures that scale effectively
• Collaborate with stakeholders to define requirements and align technical solutions

Must Have Skills

• Expert-Level ML Framework Knowledge: Deep expertise with ML frameworks to build sophisticated models and custom components
• System Design and Architecture: Strong ability to design scalable ML systems and pipelines for production environments
• End-to-End ML Pipelines: Experience building complete ML pipelines from data ingestion to model deployment
• Model Optimization: Advanced techniques for optimizing model performance, size, and inference speed
• Deep Learning Expertise: Comprehensive knowledge of deep learning architectures and their applications
• Natural Language Processing: Experience applying NLP techniques to solve complex language-based problems
• Data Modeling: Advanced skills in feature engineering and creating efficient data representations

Preferred Education and Experience

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field
• 5+ years of relevant experience in machine learning or AI engineering
• Proven track record of successful ML implementations in production environments

Why You’ll Love Working at ADI At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. You'll have access to continuous learning opportunities and mentorship from industry experts. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.

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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.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days