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BMS Algorithm Engineer

 Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Houston, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com

If you’re ready to be part of a company that’s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation. 

Job Summary

Microvast is seeking a highly skilled BMS Algorithm Engineer to join our team. This role involves designing, developing, and optimizing advanced algorithms to solve complex problems in battery system. The ideal candidate should have strong analytical skills, a deep understanding of algorithm design, and experience in implementing scalable solutions.

The position is 5 days in office, located at our headquarters in Houston, TX.

 Key Responsibilities

• Design, develop, and optimize safety related algorithms for battery system and battery management system. 
• Conduct research and apply state-of-the-art methodologies to improve system performance.
• Work closely with software engineers and data scientists/engineers to integrate safety algorithms into battery and battery management systems.
• Analyze and optimize the computational efficiency of algorithms to ensure scalability.
• Develop prototypes and proof-of-concept models to validate new ideas and approaches.
• Stay updated with the latest advancements in algorithms and related technologies.
• Document design decisions, processes, and performance metrics for internal and external stakeholders.
• Collaborating with other business units and teams

Qualifications & Skills

 Required

• Master’s or PhD in Computer Science, Mathematics, Electrical Engineering, Automation or a related field.
• Strong foundation in algorithm design, data structures, and computational complexity.
• Solid understanding of mathematical and statistical modeling techniques.
• Experience with large-scale data processing and optimization techniques.
• Ability to work collaboratively in a team environment and communicate technical concepts effectively.
• Strong problem-solving skills and the ability to think critically under challenging scenarios.
• Creative thinking skills & Strong analytical skills
• Ability to communicate well with other members of the development team

Preferred Qualifications:

• Hands-on experience with machine learning frameworks is a plus.
• Familiarity with cloud computing and distributed computing frameworks 
• Proficient in Mandarin

 Annual salary + benefits
 
 Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Microvast is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law.