Engtal
Algorithm Development Engineer – Battery Management Systems
We are seeking talented Algorithm Development Engineers to join our growing Algorithms & Data Science team. In this role, you will help develop a new generation of Battery Management System (BMS) algorithms and architectures designed to enhance battery utility and address complex challenges across automotive, energy, and other sectors.
About the Team The Advanced Technology division is focused on accelerating electrification in automotive and energy markets. Within this division, the Algorithms & Data Science Group develops and productizes advanced algorithms in areas such as intelligent control, data science, machine learning, artificial intelligence, and signal processing. The group’s work plays a critical role in enabling innovative and scalable energy solutions.
Key Responsibilities
Develop advanced BMS algorithms by integrating sensor technology, electrochemistry, mathematics, data, and AI.
Build and analyze software simulations to assess algorithm performance.
Collaborate with researchers, engineers, and domain experts to align solutions with strategic objectives.
Lead or contribute to prototyping and proof‑of‑concept initiatives.
Define and clarify problem statements with cross‑functional teams.
Formulate core mathematical models for problems of interest.
Create test environments to validate and refine algorithms.
Partner with multidisciplinary product development teams to bring algorithms into production.
Engage with customers, partners, and research institutions to identify opportunities for value creation.
Drive the technical execution of projects, ensuring clear communication of results and next steps.
Stay current with cutting‑edge algorithms and research developments relevant to BMS and energy applications.
Required Skills & Experience
Master’s degree (or equivalent experience) with 8+ years of industry experience in algorithm and software development.
Strong experience in Battery Management System algorithms, firmware, or software development/validation.
Expertise in at least two of the following
Algorithm Development
Data Science
Signal Processing & Filtering
Control Algorithm Design
Mathematical Modeling & Simulation
Proficiency with MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit‑learn, PyTorch, TensorFlow), and version control tools (e.g., Git, Bitbucket).
Strong critical thinking and problem‑solving skills.
Ability to collaborate effectively across multidisciplinary teams.
Self‑starter with the ability to quickly learn new technologies and prototype solutions.
Desired Qualifications
PhD in a relevant field.
Excellent communication, organizational, and leadership skills.
Experience working in multidisciplinary product development environments.
Knowledge of AUTOSAR and ASPICE standards.
Background in working with big data.
Experience modeling electrochemical systems.
Senior Level Mid-Senior level
Employment Type Full-time
Industries Semiconductor Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
About the Team The Advanced Technology division is focused on accelerating electrification in automotive and energy markets. Within this division, the Algorithms & Data Science Group develops and productizes advanced algorithms in areas such as intelligent control, data science, machine learning, artificial intelligence, and signal processing. The group’s work plays a critical role in enabling innovative and scalable energy solutions.
Key Responsibilities
Develop advanced BMS algorithms by integrating sensor technology, electrochemistry, mathematics, data, and AI.
Build and analyze software simulations to assess algorithm performance.
Collaborate with researchers, engineers, and domain experts to align solutions with strategic objectives.
Lead or contribute to prototyping and proof‑of‑concept initiatives.
Define and clarify problem statements with cross‑functional teams.
Formulate core mathematical models for problems of interest.
Create test environments to validate and refine algorithms.
Partner with multidisciplinary product development teams to bring algorithms into production.
Engage with customers, partners, and research institutions to identify opportunities for value creation.
Drive the technical execution of projects, ensuring clear communication of results and next steps.
Stay current with cutting‑edge algorithms and research developments relevant to BMS and energy applications.
Required Skills & Experience
Master’s degree (or equivalent experience) with 8+ years of industry experience in algorithm and software development.
Strong experience in Battery Management System algorithms, firmware, or software development/validation.
Expertise in at least two of the following
Algorithm Development
Data Science
Signal Processing & Filtering
Control Algorithm Design
Mathematical Modeling & Simulation
Proficiency with MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit‑learn, PyTorch, TensorFlow), and version control tools (e.g., Git, Bitbucket).
Strong critical thinking and problem‑solving skills.
Ability to collaborate effectively across multidisciplinary teams.
Self‑starter with the ability to quickly learn new technologies and prototype solutions.
Desired Qualifications
PhD in a relevant field.
Excellent communication, organizational, and leadership skills.
Experience working in multidisciplinary product development environments.
Knowledge of AUTOSAR and ASPICE standards.
Background in working with big data.
Experience modeling electrochemical systems.
Senior Level Mid-Senior level
Employment Type Full-time
Industries Semiconductor Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr