BMS Algorithm Development Engineer

Analog Devices•Wilmington, MA

About The Position

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and system-level solutions that combine HW and SW. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure, and connect. The Automotive Business Unit's Advanced Technology Team (AAT) is developing technologies to enable rapid scaling to electric vehicles and faster electrification of the energy sector. The Algorithms & Data Science Group within AAT creates and productizes advanced algorithms in the fields of intelligent control, data science, machine learning, artificial intelligence, signal processing, and other areas of electrical engineering and computer science that are of strategic interest to the Automotive Business Unit’s goals and roadmaps. We are looking for Algorithm Development Engineers to join our growing Algorithms & Data Science Group. You will work on a new class of BMS algorithms and architectures to improve the utility of batteries and solve challenging problems that arise in Automotive BU’s diverse portfolio of Battery Management System (BMS) applications in automotive, energy, and other areas.

Requirements

Master’s degree or equivalent job-related experience, and 8+ years of Industrial Experience in developing algorithms and software.
Experience in Battery Management System Algorithm/Firmware/Software development or validation .
Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI, Data Analysis, Signal Processing and Filtering Methods, Control Algorithms Design, Mathematical Modeling and Simulation.
Proficient in using MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, etc.), and software version control tools (Git, Bitbucker, etc.).
Critical thinking skills.
Ability to collaborate effectively with teammates and cross-functional teams.
Ability to independently learn new technologies, prototype and design software.

Nice To Haves

Excellent communication, organizational and leadership skills
Working on multidisciplinary teams.
Experience with AUTOSAR and ASPICE.
PhD degree in a relevant area.
Working with big data.
Experience modeling electro-chemical systems.

Responsibilities

Create advanced BMS algorithms by combining novel sensor technology, electro-chemistry, mathematics, data, and AI, specialized for applications relevant to the Automotive Business Unit's strategy in BMS.
Develop software simulations and analyze performance of algorithms.
Work with other researchers and engineers, inside and outside the AAT, to connect our work with the goals of the Automotive business units.
Lead or contribute to prototyping efforts.
Work with domain experts to define, understand, and clarify problem statements.
Derive core mathematical expression for problems of interest.
Build proof of concepts, and test environments to validate algorithms.
Work with multidisciplinary product development engineering teams at ADI 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 ADI’s Automotive business.