Researcher II

Location(s): Santa Clara, CA Job Schedule: Full-time, Hybrid Education Requirement: Bachelor’s Degree Sponsorship: No Come Drive Innovation with Us 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. A Day in the Life As an SME Researcher, you will apply deep battery systems expertise to support the development of agentic AI-driven 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. Key responsibilities include: 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. Agentic AI Development 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. Data & Analytics 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. Cross-Functional Integration 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. Strategic Contributions 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. Who We’re Looking For We’re seeking a technically curious and innovative battery systems expert who thrives at the intersection of engineering, analytics, and artificial intelligence. The ideal candidate possesses strong Battery Management System knowledge and can translate complex battery behavior into data-driven, AI-enabled solutions. Requirements: Bachelor’s degree plus 5–10 years of relevant experience OR Master’s degree and 2–5 years OR Ph.D. and 0–2 years. Degree in Engineering, Computer Science, or a related technical field. Strong understanding of battery behavior, SOC, SOH, thermal characteristics, and operating constraints. 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. Desired: Experience with AI 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. Nissan is committed to fostering an inclusive workplace where employees can thrive and contribute their best work. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. What You’ll Look Forward to at Nissan: Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you’ll have the support to tackle challenges and contribute to impactful solutions across our organization. Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide. Built for Your Best: https://www.youtube.com/watch?v=PXuame0vwiw&list=PLki2k0CDxrPe8V6WmEeEdhj1fosRD-JQa Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. Nissan is an Equal Employment Opportunity employer. Candidates must be legally authorized to work in the United States. NISSAN FOR EVERYONE. Join us as we carry our commitment to diversity and inclusion into the future. Location: Santa Clara, California, United States of America. Salary Range: $134,042.00 - $230,590.00. Salary Range Estimate: Annual Salary.