Senior Engineer, Machine Learning
7 days ago
Senior Engineer, Machine Learning
Senior Engineer, Machine LearningApply locations: Ireland, Limerick
Time type: Full time
Posted on: Posted 4 Days Ago
Job requisition id: R244338
Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.
ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.
The Automotive Electrification and Sustainable Energy (AES) Business Unit's Advanced Technology Team is looking to develop technologies to enable rapid scaling to electric vehicles and faster electrification of the energy sector. The Algorithm & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit's goals and roadmaps.
We are looking for Research Scientists to join our growing Algorithm & Data Science Group. Research Scientists will work in a collaborative and hands-on environment to solve challenging problems that arise from AES' diverse portfolio of applications and are expected to advance the scientific and technological state of the art in the areas of interest to the Business Unit.
Responsibilities- Create novel algorithms specialized for applications relevant to the Automotive Electrification and Sustainable Energy Business Unit's strategy.
- Develop software simulations and analyze performance of algorithms.
- Work with other researchers and engineers, inside and outside the AES Advanced Technology Team, to connect our work with the goals of the AES business units.
- Lead or contribute to prototyping efforts.
- Work with domain experts to define, understand, and clarify problem statements.
- Drive core mathematical expression for problems of interest.
- Build proof of concepts, and test environments to validate algorithms.
- Work with product development engineering teams to implement algorithms.
- Work with our Customers, their customers, and Research institutions to understand issues and where we can create value.
- Be a lead contributor to the technical execution of projects.
- Clearly and effectively communicate the results of analysis and action plans both verbally and in writing.
- Stay abreast of state-of-the-art algorithms, and research advances beyond the state of the art in areas relevant to AES.
- Assumes PhD degree or equivalent experience (5+ years Industrial Experience).
- Should have a strong background in at least one of the following areas: Algorithm Development, Machine Learning/AI, Data Analysis, Mathematical Modeling and Simulation, Signal Processing and Filtering Methods, Control Algorithms Design.
- Proficiency in MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, etc.).
- Experience in battery algorithms (either traditional or ML/AI based).
- Optimization Methods.
- Digital Signal Processing.
- Battery Management Systems (BMS) design and control.
- Experience modeling electro-chemical systems.
- Wilmington/Boston, USA.
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: Graduate Job
Required Travel: Yes, 10% of the time
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