Researcher II, Battery Systems & Agentic AI

Nissan Motor Corporation•Santa Clara, CA

39d•$134,042 - $230,590•Hybrid

About The Position

With a focus on vehicle electrification, intelligent mobility, and data-driven engineering, Nissan is advancing next-generation EV platforms and battery technologies. We are committed to leveraging software, data, and system-level intelligence to maximize battery performance, safety, and lifetime value. At Nissan, our people are what drive our success. We are seeking a highly skilled battery systems expert to help shape the future of intelligent battery management through the integration of advanced analytics, AI, and engineering expertise. 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.

Requirements

Bachelor's degree plus 5–10 years of relevant experience OR Master's degree and 2–5 years of relevant experience OR 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.
Strong problem-solving skills and cross-functional collaboration capabilities.

Nice To Haves

Experience with artificial intelligence and machine learning technologies.
Knowledge of reinforcement learning, agent-based systems, or sequential decision-making frameworks.
Familiarity with vehicle and telematics data analysis.
Experience working with cloud-based data platforms.
Background in battery degradation analysis, modeling, or lifecycle prediction.
Experience with simulation environments, digital twins, or virtual validation frameworks.
Demonstrated innovation through patents, publications, or product contributions.
Experience working in research-focused or highly ambiguous environments.

Responsibilities

Define battery system states, including State of Charge (SOC), State of Health (SOH), thermal conditions, and system constraints.
Interpret and formalize BMS logic and operational boundaries.
Capture safety and control constraints within system representations.
Translate battery behavior into structured computational frameworks.
Design AI systems capable of making autonomous battery-related decisions.
Define state, action, and reward structures for intelligent decision-making frameworks.
Incorporate physics-based constraints into AI models.
Support the development of adaptive and self-optimizing battery management strategies.
Analyze large-scale vehicle and telematics datasets.
Identify real-world usage patterns and battery degradation behaviors.
Develop and utilize Python-based data analysis workflows.
Support predictive modeling and simulation environments.
Collaborate closely with BMS, data science, and AI teams.
Align physical battery constraints with AI-based decision logic.
Bridge the gap between embedded battery systems and cloud-based analytics platforms.
Contribute to Nissan’s next-generation battery intelligence roadmap.
Identify high-impact applications for agentic AI technologies.
Translate technical findings into actionable business and engineering outcomes.