Software Engineer, Redwood Materials
ML/Computer Vision (Battery Sorting)
$152.5-287.5k
More information about location
Battery recycling startup
Be an early applicant
Battery recycling startup
501-1000 employees
Be an early applicant
$152.5-287.5k
More information about location
501-1000 employees
Company mission
To build a circular supply chain to power a sustainable world and accelerate the reduction of fossil fuels.
Role
Who you are
- The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification
- B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
- 2+ years of industry experience working with machine learning models, preferably in computer vision
- Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
- Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
- Experience designing and tracking ML experiments using tools such as MLflow
- Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
- Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
- Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
- Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
- A passion for sustainability and making the world a better place!
What the job involves
- The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors
- This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor
- This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition
- Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
- Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
- Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
- Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
- Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
- Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
- Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements
- Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
Our take
Redwood Materials, the brainchild of former Tesla co-founder and CTO JB Straubel, is making waves in the sustainable energy sector with its strategic approach to battery recycling and domestic supply chains for lithium-ion batteries.
The company is dedicated to creating a fully closed-loop supply chain by manufacturing critical battery components using as many recycled batteries as possible, effectively localising a 50,000-mile global battery supply chain on a single site. This strategy aims to address the critical issue of material sourcing, particularly the reliance on China for battery materials.
Redwood Materials closed a Series E funding round in 2025 at a post-money valuation exceeding $6B. This financial backing positions the company to continue expanding its capacity, further strengthening the US's domestic battery supply chain. Its ambitious goal of enabling customers to purchase battery materials made in the US is aligned directly with the broader political objective of onshoring critical industries, as emphasised in the USA's 2022 Inflation Reduction Act.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Feb 2026
$75m
SERIES E
Oct 2025
$350m
SERIES E
Total funding: $2.2bn
Company HQ
Carson City, NV
Leadership
JB Straubel
(CEO)Co-founder of Tesla where they spent 15 years as Chief Technology Officer before founding Redwood Materials. They currently serve on the Board of Directors at Tesla and as a Board Member at QuantumScape.
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