Nissan
Researcher II, Battery Systems & Agentic AI
Santa Clara, California - United States of America · Mid · Contract
No sponsorship$134k-$231kDetected 5 days ago
PythonMachine LearningPandasNumPyData AnalysisData ScienceAgentic AIResearchCollaborationProblem Solving
About the role
- The Battery R&D team in Silicon Valley is focused on combining battery engineering, large-scale data analytics, and artificial intelligence to enable next-generation battery intelligence.
- This role serves as a key bridge between battery engineering, data science, and AI development, translating physical battery system behavior into intelligent decision-making frameworks.
- The ideal candidate possesses strong Battery Management System knowledge and can translate complex battery behavior into data-driven, AI-enabled solutions.
Responsibilities
- Design AI systems capable of making autonomous battery-related decisions.
- Support the development of adaptive and self-optimizing battery management strategies.
- Develop and utilize Python-based data analysis workflows.
- Support predictive modeling and simulation environments.
- Collaborate closely with BMS, data science, and AI teams.
Requirements
- Bachelors Degree
- Bachelor's degree and 5-10 years of relevant experience
- Master's degree and 2-5 years of relevant experience
- Ph.D. and 0-2 years of relevant experience.
- Degree in Engineering, Computer Science, or a related technical field.
- Strong understanding of battery behavior, including SOC, SOH, thermal characteristics, and operating constraints.
- Solid knowledge of Battery Management Systems (BMS), including estimation methods, control logic, and safety concepts.
- Proficiency with Python and data analysis tools such as NumPy, Pandas, and related libraries.
- Experience working with large-scale datasets, including vehicle, telematics, IoT, or similar data sources.
- Ability to abstract physical systems into computational and analytical frameworks.
Compensation
- $134,042.00 - $230,590.00
- (Minimum to Maximum of Salary Range noted here).
- This compensation range represents the minimum and maximum base salary rates at Nissan for jobs assigned to this particular grade level.
- Rather, an employee's actual base salary generally may fall somewhere in between and reflect the employee's unique skills, work experience, education, work location, and market norms.
- Additionally, pay may be based on comparisons to the base salary rates of other employees with similar backgrounds working in comparable roles.
Benefits
- Define battery system states, including State of Charge (SOC), State of Health (SOH), thermal conditions, and system constraints.
Visa & Work Authorization
- Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
This listing is sourced directly from Nissan's careers page and normalized into a canonical job model.