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Ai Battery Jobs (NOW HIRING)

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Position Overview The Advanced Simulation Technology & AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for ...

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms ...

Anduril Industries

Battery Engineer

Costa Mesa, CA · On-site

$132K - $213K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Battery management system (BMS) integration and validation * Cell, module, and pack level ...

anduril

Battery Engineer

Costa Mesa, CA · On-site

$132K - $213K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Battery management system (BMS) integration and validation * Cell, module, and pack level ...

Monks

Battery Test Engineer

Cupertino, CA · On-site

Experience integrating LLM APIs or AI services into applications (prompt engineering, API ... Exposure to battery management systems or embedded systems workflows Experience with CI/CD, version ...

Monks

Battery Test Engineer

Cupertino, CA · On-site

$130K - $160K/yr

Battery Test Engineer The Role We are seeking a hands-on Battery Test Engineer with a proactive ... Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a ...

New Flyer

Battery Service Technician

Auburn Hills, MI · On-site

$17.50 - $23.75/hr

Further information is available at www.newflyer.com POSITION SUMMARY The Battery Service ... AI Assisted tools may be used in parts of the screening or selection process. New Flyer is an equal ...

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How much do ai battery jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for ai battery in the United States is $21.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Battery Engineer, and why are they important?

To thrive as an AI Battery Engineer, you need a solid background in electrical engineering, battery technology, and applied artificial intelligence, often supported by a relevant degree. Familiarity with simulation software, battery management systems (BMS), and programming languages such as Python or MATLAB is typically required. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies ensure the development of innovative, efficient, and reliable battery systems that leverage AI for improved performance and safety.

How do AI Battery Engineers typically collaborate with cross-functional teams to optimize battery performance?

AI Battery Engineers often work closely with hardware engineers, data scientists, and product managers to enhance battery efficiency and lifespan. They use machine learning algorithms to analyze battery usage patterns and provide actionable insights, which are then implemented in collaboration with other teams. Regular meetings and data-sharing sessions are common, ensuring that models are refined based on real-world feedback and integrated seamlessly into battery management systems. This collaborative approach is essential for developing innovative solutions that meet both technical and user requirements.

What are AI Battery jobs?

AI Battery jobs refer to roles that focus on integrating artificial intelligence (AI) technologies with battery systems to improve their performance, management, and lifespan. Professionals in this field might work on developing smart battery management systems, optimizing charging and discharging cycles using machine learning, or analyzing battery health and usage data. These roles often require expertise in both battery technology and AI, including skills in data analysis, software development, and electrical engineering. The goal is to make batteries more efficient, reliable, and adaptable for applications such as electric vehicles, renewable energy storage, and consumer electronics.
Infographic showing various Ai Battery job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $45,046 per year, or $21.7 per hour.
Software Internship - AI & Battery Informatics

Software Internship - AI & Battery Informatics

Sila

Alameda, CA

$25 - $39/hr

Internship

Posted 17 days ago

Job description

About Us

We are Sila, a next-generation battery materials company. Our mission is to power the world's transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world?

Who You Are

Are you a code-savvy engineer who thrives on high-performance data and agentic systems? We are looking for an AI-forward, battery science-centric software intern to bridge the gap between electrochemical R&D and production-grade data science. You will complement our Battery Engineering & R&D engineering teams by focusing on the "heavy lifting" of data systems, computer vision, and AI-forward applications. You are someone who views data as a high-performance asset and wants to build the autonomous workflows that will determine how we discover the next generation of energy storage.

Project examples could include designing an AI Agent to browse experimental databases, analyze ECT data, and summarize performance trends. Developing a production CV pipeline that automates fiber/particle quantification in seconds, replacing manual measurement. Or creating the "plumbing" for physics-based models to ingest millions of rows of cycling data via high-performance manipulation.

Responsibilities and Duties
  • Build and deploy autonomous AI agents to automate experimental management, enabling researchers to query, summarize, and reason over complex datasets.
  • Develop automated pipelines for eg. SEM (Scanning Electron Microscopy) and other characterization techniques to automate feature extraction (e.g., particle morphology, particle sizing, feature extraction, and defect detection).
  • Data orchestration and optimization support for modeling teams with build and validate physics-based and ML- models (Transformers, GNNs) to predict battery performance.
  • Design and optimize data pipelines capable of handling massive, high-frequency battery datasets (cycling, modeling) using advanced frameworks for out-of-memory processing.
  • Support the development of backend pipelines, FastAPI tools, and internal dashboards (Hex, React,js) to bring AI-driven insights to a wider audience.
Knowledge and Skill Requirements
  • BSc (or preferably MSc/currently enrolled in a Ph.D. program) in Computer Science, Materials Science, or a related field.
  • Mastery of Python scientific libraries (NumPy, SciPy, Pandas). Expert-level experience with high-performance frameworks like Polars, Vaex, or Dask for massive datasets.
  • Experience building agentic workflows (e.g., LangGraph, CrewAI) and utilizing cloud-native AI functions such as Snowflake Cortex.
  • Proficiency in OpenCV or deep learning-based image segmentation (e.g., SAM) for material characterization.
  • Strong proficiency in building production-ready code, including K8s, Docker, and CI/CD pipelines.
  • Basic understanding of Li-ion battery chemistry, materials processing, and electrochemical testing.
  • Proficiency in using AI coding tools (e.g., Claude Code, Copilot) and Git-based collaboration.
Physical Demands and Working Conditions
  • Move long distances and be stationary for extended periods of time.
  • Operate a computer and other office equipment in a fixed location.
  • This role is on-site in our Alameda HQ.

The starting base pay for this role is between $25/hr and $39/hr at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila's competitive Total Rewards package that can include benefits, perks, and equity. The base pay range is subject to change and may be modified in the future. This role may also be eligible for overtime. #LI-Onsite

Working at Sila

We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.