Algorithms Research Scientist, Machine Learning

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.

ADI At A Glance

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Analog Devices is committed to investing in our people and their growth. One way we can do this is by establishing a cutting-edge Entry Level Hiring program. This program features high impact professional development, opportunities to drive meaningful projects that are directly tied to business goals, and unique executive exposure. Our duty is to develop the next generation of talent in our communities and provide them with a pathway to apply their academic skills in the real-world. At ADI, our early career hires will learn from the brightest minds who are dedicated to their growth, development, and success. From an industry perspective, incoming new career hires are surrounded by employees that represent the best of the best minds in their respective fields.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible!

Job Description

The Advanced Technology Team of the Automotive Electrification & Sustainable Energy (AES) Business Unit is looking to develop technologies to enable rapid scaling to electric vehicles and faster electrification of the energy sector. The Algorithms, Machine Learning, & 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 Algorithms, Machine Learning & 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 include, but are not limited to:

1. Create novel algorithms specialized for applications relevant to the Automotive Electrification & Sustainable Energy Business Unit's strategy.
2. Develop software simulations and analyze performance of algorithms.
3. 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.
4. Lead or contribute to prototyping efforts.
5. Work with domain experts to define, understand, and clarify problem statements.
6. Derive core mathematical expression for problems of interest.
7. Build proof of concepts, and test environments to validate algorithms.
8. Work with product development engineering teams to implement algorithms.
9. Work with our Customers, their customers, and Research institutions to understand issues and where we can create value.
10. Be a lead contributor to the technical execution of projects.
11. Clearly and effectively communicate the results of analysis and action plans both verbally and in writing.
12. Stay abreast of state-of-the-art algorithms, and research advances beyond the state of the art in areas relevant to AES.

Minimum Qualifications

1. Assumes Ph.D. or Master’s degree.
2. Strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
3. Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, etc.), MATLAB/Simulink.
4. Willingness and ability to learn something new quickly.
5. Innately curious, has a bias for action and works in collaboration with others to deliver results.
6. Excellent interpersonal skills and an ability to articulate problems and solutions both verbally and in written form.

Preferred Qualifications

1. Experience in processing, analyzing, and visualizing real data.
2. Experience in battery algorithms (either traditional or ML/AI based).
3. Experience using digital signal processing techniques.
4. Background in Battery Management Systems (BMS) design and control.
5. Experience modeling/simulating electro-chemical systems.
6. Experience in Power Systems Engineering.
7. Experience Modelling Distribution Grid.
8. Grid Optimization and Planning.
9. Grid control algorithms design.

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: Graduate Job

Required Travel: No