Principal Robotics AI/ML Engineer

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Principal Robotics AI/ML Engineer

ADI - Analog Devices

Limerick, Ireland

Responsibilities

As a Principal Robotics AI/ML Engineer, you be responsible for defining, training, and deploying AI/ML models to solve complex robotics-specific problems such as perception, SLAM, trajectory generation, grasping & manipulation, etc.;
Act as a technical lead for cross-functional teams driving AI R&D and putting models into production, enabling delivery of AI solutions to meet ADI’s strategic goals;
Perform data engineering and exploratory data analysis to extract meaningful insights; analyze and select features to optimize model performance;
Explore and select appropriate tools and models for each problem, including using deep learning, LLMs, Transformers, NLP, and ML models;
Architect and implement solutions adhering to modern software design principles, ensuring best practices in AI architecture, CI/CD, and MLOps;
Effectively communicate complex technical findings and developments to a diverse audience, including non-technical stakeholders;
Conduct research to stay ahead of the latest developments in AI, communicate learnings to the team, and evaluate/recommend new technologies for the platform.

Qualifications

10+ years of experience in software engineering or data science, including 5+ years developing AI/ML solutions. At least 3+ years in a technical leadership role;
Degree in Computer Science, Electrical Engineering, Mathematics, or a related field. M.S. or Ph.D. preferred;
Broad understanding of and experience with ML, deep learning, LLMs, and modern AI trends. Demonstrated deep expertise in at least one specific AI domain;
Hands-on experience of working in the robotics domain, with fixed-arm robots, autonomous mobile robots, etc.;
Experience with physics-based robotic models and use of AI to prototype solutions in simulation before deploying to the real world;
Significant experience leading end-to-end AI/data science efforts, from AI use-case analytics, to selecting appropriate models and technologies, to building and deploying working solutions;
Expertise with relevant languages and technologies such as Python, C++, Pytorch, and Tensorflow. Experience with Azure or AWS;
Must have extensive experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.;
Demonstrated experience in managing datasets, extracting features, and visualizing results;
Experience with data orchestration tools and modern DevOps/MLOps processes (e.g., containerization, Docker, Kubernetes);
Competency in any of the following is also beneficial: electronics and signal processing, control theory, image processing, industrial automation;
A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams.