Careers
Join the team building the future of battery risk intelligence
We're a fully remote team looking for people who want real ownership at an early-stage company shaping the battery circular economy.
Open positions
Data Scientist
You'll build the intelligence layer of our Battery Intelligence Platform — production-grade ML models and autonomous agents that turn raw battery telemetry into fleet-scale insight. Work at the intersection of electrochemistry and modern ML, with real ownership over architecture and deployment.
What you'll do
- Design, train, and deploy ML models for prediction, classification, anomaly detection, and forecasting on large-scale battery telemetry
- Build end-to-end ML pipelines — ingestion, feature engineering, training, deployment, monitoring, and retraining
- Develop time-series and sensor-data models (XGBoost, LSTM, Transformer) for real-time and batch inference
- Build LLM-powered agents for schema discovery, metadata analysis, and automated pipeline generation
- Deploy low-latency inference services with monitoring, drift detection, and explainability (SHAP/LIME)
What we're looking for
- 3+ years building and deploying ML models on time-series / sensor data in production
- Proficiency with gradient boosted trees (XGBoost, LightGBM) and deep sequence models (LSTM, GRU, Transformers)
- Strong Python data science stack — NumPy, Pandas, SciPy, scikit-learn, PyTorch (or TF/Keras)
- Feature engineering on noisy, irregular sensor data — filtering, smoothing, statistical aggregation
- MLOps experience — MLflow, FastAPI/BentoML serving, CI/CD for ML, Parquet/Iceberg, Spark, S3 data lakes
Education
Typically, candidates have an MS or PhD in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field — but equivalent experience works too.
Nice to have
- Experience building LLM agent systems — tool use, RAG, multi-agent orchestration
- Transfer learning and temporal generative models (TimeGAN, Temporal Fusion Transformers) for time-series
- Automotive data systems (CAN bus, OBD-II, BMS telemetry) or anomaly detection in safety-critical domains
Battery Analytics Engineer
You'll bridge battery electrochemistry and data science — translating degradation mechanisms into the domain foundation for our AI models. You'll ensure every prediction the platform makes is grounded in real battery physics, not just statistical patterns.
What you'll do
- Design and validate physics-based battery simulations for synthetic data generation
- Define the feature engineering pipeline for battery health estimation
- Specify electrochemistry-driven model constraints and validation criteria
- Design methodology for fleet-scale health assessment with calibrated uncertainty
- Set data quality standards and deployment acceptance criteria
What we're looking for
- 3+ years hands-on with Li-ion battery degradation (automotive, cell manufacturing, or energy storage)
- Deep knowledge of degradation mechanisms (SEI growth, lithium plating, active material loss)
- Proficiency in ICA/DVA analysis
- Experience with electrochemical modeling and simulation (PyBaMM or equivalent)
- Strong Python scientific computing skills (NumPy, Pandas, SciPy)
Education
Typically, candidates have an MS or PhD in Electrochemistry, Chemical Engineering, Materials Science, or Battery Science.
Nice to have
- PhD in a related discipline
- Automotive BMS experience
- Peer-reviewed publications in battery science
Battery Data Engineer
You'll build the data foundation of our Battery Intelligence Platform — architecting scalable cloud-native data lakes, pipelines, and governance frameworks that turn high-volume battery telemetry into trusted, AI-ready datasets powering analytics across the lifecycle.
What you'll do
- Architect cloud-native data lake / lakehouse platforms on AWS (Lake Formation, Glue, DataZone, Athena, Redshift, EMR, S3) or equivalent (Databricks, Snowflake, Delta Lake)
- Build ETL/ELT pipelines for structured, semi-structured, streaming, and time-series battery telemetry
- Develop distributed processing workflows in Spark / PySpark / Glue and streaming pipelines on Kafka, Kinesis, or EventBridge
- Implement metadata, lineage, cataloging, and governance with DataZone, Lake Formation, or Glue Catalog
- Partner with ML and analytics teams to deliver AI-ready datasets and feature engineering pipelines
What we're looking for
- 3+ years building large-scale data engineering and analytics platforms
- Strong AWS modern data stack (Lake Formation, Glue, DataZone, Athena, Redshift, EMR, S3, SageMaker Unified Studio) or equivalent Databricks / Snowflake / Delta Lake experience
- Expertise in Spark / PySpark and strong Python plus advanced SQL for large-scale analytical workloads
- Deep understanding of data lake / lakehouse architecture, partitioning, schema evolution, governance, and query performance tuning
- Experience with IoT, telemetry, or time-series data and streaming / event-driven architectures
Education
Typically, candidates have a BS or MS in Computer Science, Data Engineering, or a related field — but equivalent experience works too.
Nice to have
- Experience with battery telemetry, EV / BMS data, or energy storage platforms
- Familiarity with Apache Iceberg, Hudi, or Delta Lake table formats
- Infrastructure-as-code experience (Terraform, CDK, CloudFormation) and observability for data platforms
Senior Software Engineer — Full Stack
You'll be one of the first engineering hires, building the IonPulse platform end-to-end — from data pipelines and APIs to analytics dashboards. Real ownership, direct influence on architecture, high-impact work at the intersection of software and clean energy.
What you'll do
- Build full-stack features using Python (FastAPI/Django) and React
- Architect cloud-native data pipelines on AWS (Lambda, DynamoDB, S3, API Gateway)
- Develop analytics dashboards and interactive visualization tools
- Design and optimize search across large-scale datasets (Elasticsearch/OpenSearch)
- Establish CI/CD, testing, and observability foundations
What we're looking for
- 3+ years building production software
- Strong Python and React experience
- Hands-on AWS (Lambda, DynamoDB, S3, API Gateway)
- Experience with data pipelines and containerized workloads
- Comfortable with end-to-end ownership
Education
Typically, candidates have a BS or MS in Computer Science, Software Engineering, or a related field — but equivalent experience works too.
Nice to have
- Time-series or IoT data experience
- Familiarity with ML model serving
- Infrastructure-as-code (CDK, Terraform)
Front End Developer (UX/UI + React)
You'll be a creative frontend engineer combining strong UX/UI design instincts with React expertise — building the user experience layer of our Battery Intelligence Platform from the ground up. Significant ownership over product experience, design systems, and frontend architecture at an early-stage company.
What you'll do
- Design and build modern, responsive, interactive UIs in React and TypeScript
- Create wireframes, mockups, and high-fidelity designs in Figma and ship them to production
- Build analytics dashboards and data visualizations using Recharts, D3.js, or Plotly
- Develop reusable component systems and establish frontend engineering standards
- Adopt an AI-first workflow and collaborate with backend teams to integrate APIs end-to-end
What we're looking for
- 3-7 years building modern frontend web applications
- Strong React expertise (hooks, context, state management) plus TypeScript, HTML5, CSS3
- Strong UX/UI design skills with hands-on Figma (or Adobe XD/Sketch/Photoshop) experience
- Experience integrating REST APIs and building responsive, pixel-perfect, cross-browser interfaces
- Comfortable using Gen AI coding/design tools to accelerate development
Education
Typically, candidates have a BS or MS in Computer Science, Design, Human-Computer Interaction, or a related field — but equivalent experience works too.
Nice to have
- Experience with data visualization libraries (D3.js, Recharts, Plotly) and Framer Motion
- Background designing analytics dashboards or data-heavy applications
- Familiarity with battery systems, EV technology, or energy platforms
Battery Science Intern
You'll bring electrochemical knowledge to our AI-powered Battery Intelligence Platform — translating degradation mechanisms into quantifiable features, simulation scenarios, and validation criteria. This internship bridges battery science and data science at the foundation level.
What you'll do
- Support cell chemistry parameterizations across Li-ion chemistries (NMC, LFP, NCA) including aging model parameters
- Help design physics-based simulations spanning climate, usage patterns, charging behaviors, and aging conditions
- Contribute to the feature engineering pipeline for battery health estimation — voltage analysis, impedance evolution, and thermal exposure
- Assist in defining electrochemical signatures for safety-critical events such as thermal anomalies and lithium plating
- Support battery grading criteria for second-life routing decisions across reuse, remanufacturing, and recycling pathways
What we're looking for
- Pursuing or recently completed a degree in Electrochemistry, Chemical Engineering, Materials Science, or Battery Science
- Foundational knowledge of Li-ion battery degradation mechanisms (SEI growth, lithium plating, active material loss)
- Familiarity with electrochemical modeling concepts and simulation tools
- Python scientific computing skills (NumPy, Pandas, SciPy)
- Strong analytical skills and ability to work independently
Education
Pursuing or recently completed a BS or MS in Electrochemistry, Chemical Engineering, Materials Science, Battery Science, or a related field.
Nice to have
- Experience with PyBaMM or equivalent simulation frameworks
- Familiarity with ICA/DVA analysis techniques
- Published coursework or research in battery science
AI & Full Stack Engineering Intern
You'll contribute to cutting-edge projects across our full stack — building intelligent web applications with an AI-first approach using Python, React, and AWS. Real hands-on experience at an early-stage company at the intersection of AI and clean energy.
What you'll do
- Build full-stack features using Python and React with an AI-first development approach
- Utilize AWS services (Bedrock, Lambda, S3, DynamoDB, API Gateway, CloudFront) and DevOps principles
- Develop intelligent web applications employing Generative AI and AI agents as foundational elements
- Assist in training, refinement, and deployment of machine learning models into production applications
- Document scripts, workflows, and processes while collaborating with cross-functional teams
What we're looking for
- Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Familiarity with programming in Python and React
- Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn
- Experience with data manipulation using Pandas, NumPy, and SQL
- Strong problem-solving skills and ability to work in a team-oriented environment
Education
Pursuing or recently completed a BS or MS in Computer Science, Data Science, Artificial Intelligence, or a related field.
Nice to have
- Experience with containerized workloads (Docker, ECS/EKS)
- Familiarity with Generative AI or agent-based frameworks
- Exposure to time-series or IoT data pipelines