Santa Clara, California, United States · Hybrid
$134k–$231k/yr
Location(s): Santa Clara, CA Job Schedule: Full-time, Hybrid Education Requirement: Bachelors Degree Sponsorship: No Come Drive Innovation with Us With a focus on vehicle electrification, intelligent mobility, and data-d…
Skills: Battery Management Systems, Python, Agentic AI, Data Analysis, NumPy
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$184k–$357k/yr
The Autonomous Vehicles Platform team is looking for a hands-on Cybersecurity Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable soluti…
Skills: C++, C, Python, Linux, QNX
Santa Clara, California, United States · On-site
$152k–$237k/yr
The EBS, AWS Backup, and Edge Data Services (AWS Transfer Family, AWS DataSync, SGW) team is looking for an experienced Senior Product Manager based in the Seattle or Santa Clara area to lead product and feature definiti…
Skills: Product Strategy, Go-To-Market Strategy, Product Roadmap Definition, PR/FAQ Writing, Cross-functional Leadership
Santa Clara, California, United States · On-site
$176k–$334k/yr
Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engin…
Skills: Distributed Storage, Kubernetes, Python, Go, Ansible
San Francisco, California, United States · On-site
$154k–$239k/yr
Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced c…
Skills: Generative AI, Solutions Architecture, Cloud Computing, Application Modernization, System Design
Santa Clara, California, United States · Remote OK
$221k–$387k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Agentic AI, Product Management, Autonomous Agents, LLM Orchestration, Enterprise Governance
Santa Clara, California, United States · On-site
We are currently looking for OUTGOING and EXCITING people to present MAD SCIENCE SHOWS and PARTIES! Are you looking for a job that's FUN and gives you loads of EXPERIENCE on stage, in the spotlight? Look no further than …
Skills: Public Speaking, Performing Arts, Child Management, Verbal Communication, Basic Science Knowledge
Santa Clara, California, United States · On-site
Responsibilities: Facilitating a one-hour after-school science enrichment program using a pre-set curriculum. Each session is a high-energy, part entertainment, part education, hands-on class that meets for one hour each…
Skills: Teaching, Classroom Management, STEM Education, Public Speaking, Child Supervision
Santa Clara, California, United States · On-site
$85k–$110k/yr
. Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world’s largest electronics manufacturer and leading provider of technological solutions with a network…
Skills: Facility Maintenance, MEP Systems, Contractor Management, HVAC, Electrical Distribution
Santa Clara, California, United States · On-site
$110k–$150k/yr
Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world’s largest electronics manufacturer and leading provider of technological solutions with a network o…
Skills: Facilities Management, Vendor Management, Budgeting, Contract Negotiation, Property Management
Santa Clara, California, United States · Remote OK
$191k–$334k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Product Management, Licensing Governance, Entitlement Management, Metering Governance, Consumption-Based Business Models
Santa Clara, California, United States · On-site
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: Optical Interconnects, SerDes Optimization, System Integration, PAM4 Technology, CMIS Validation
Santa Clara, California, United States · On-site
$20/hr–$21/hr
Porsche Stevens Creek, a Penske Automotive Group dealership, is looking for knowledgeable and friendly Product Specialists to join our team and deliver extraordinary customer experiences. JOIN OUR TEAM At Penske Automoti…
Skills: Customer Experience, Vehicle Technology, Communication Skills, Interpersonal Skills, Organizational Skills
Santa Clara, California, United States · Hybrid
$120k–$261k/yr
Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE…
Skills: RTL Design, Micro-architecture, Networking Silicon, Verilog, System Verilog
Santa Clara, California, United States · On-site
$30/hr–$34/hr
Job Description About the Role As a Department Manager, you’ll be the leader supporting and encouraging your whole team. By bringing everyone together, you’ll be able to create an inclusive culture that promotes collabor…
Skills: Leadership, Team Management, Sales Analysis, Visual Merchandising, Recruitment
Santa Clara, California, United States · On-site
$105k–$142k/yr
First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: Lead design, implementation, and validation of electrical control systems and PLC/HMI programming S…
Skills: Python, PLC/HMI Programming, AutoCAD, Controls Engineering, Industrial Automation
Emeryville, California, United States · On-site
$120k–$155k/yr
Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing process…
Skills: Python, Firmware Integration, Hardware Debugging, Schematic Reading, Sensor Validation
Emeryville, California, United States · On-site
$120k–$155k/yr
Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing process…
Skills: Electrical Integration, Electromechanical Design, Interconnect Design, Troubleshooting, Sensor Integration
Santa Clara, California, United States · On-site
$163k–$214k/yr
About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of…
Skills: Site Reliability Engineering, AWS, GCP, Observability, SLO Governance
Santa Clara, California, United States • Hybrid
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The role involves developing agentic AI-driven battery intelligence by bridging the gap between physical battery behavior and computational decision-making frameworks. Key tasks include defining battery system states, designing autonomous AI decision systems, and analyzing large-scale telematics datasets.
Candidates need a degree in Engineering, Computer Science, or a related field with experience levels varying by degree (up to 10 years for Bachelors, 5 for Masters, or 2 for PhD). Proficiency in Python and a strong understanding of Battery Management Systems (BMS) and battery behavior are required.
Location(s): Santa Clara, CA
Job Schedule: Full-time, Hybrid
Education Requirement: Bachelors Degree
Sponsorship: No
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.
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.
We are 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.
Bachelor's degree and 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.
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.
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.
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.
It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. 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.
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Santa Clara California United States of AmericaSalary Range:
$134,042.00 - $230,590.00Salary Range Estimate: Annual Salary: (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. Please note that it is uncommon for an employee to be placed at either end of the range. 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.
Driving innovation to enrich people’s lives.
Nissan Motor Corporation is a global car manufacturer that sells a full line of vehicles under the Nissan and INFINITI brands. Nissan’s global headquarters in Yokohama, Japan, manages operations in four regions: Japan-ASEAN, China, Americas, and AMIEO (Africa, Middle East, India, Europe & Oceania). For more information about our products, services and commitment to sustainable mobility, visit nissan-global.com. You can also follow us on Facebook, Instagram, Twitter and LinkedIn and see all our latest videos on YouTube.
Offices: 1-1, Takashima 1-chome,, Yokohama-shi, Kanagawa 220-8686, JP · 5290 Orbitor Dr, Mississauga, ON L4W 4Z5, CA · Ernest Oppenheimer St, Akasia, Gauteng 0118, ZA · Calle Republica Mexicana 309, Aguascalientes, AGS 20236, MX · Hornweg 32, Amsterdam, North Holland 1044 AN, NL
