solidpower
Scientific Software Engineer
At a Glance
- Location
- Louisville, Colorado, United States
- Work Regime
- onsite
- Experience
- 3+ years
- Compensation
- rked equipment. Salary Range: $125,000 - $150,000/year Benefits: Solid Power of
- Posted
- 2026-03-11T18:40:44-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Cloud
- Engineering
- Government
- Regulatory
Benefits & Perks
New Years off, Unlimited PTO, up to six (6) weeks paid FML
udes medical/dental/vision insurance, employer paid Life/AD&D/STD/LTD insura
Requirements
Significant experience translating scientist-developed exploratory code to robust, modular, production-ready applications.
Strong command of Python, including experience with testing frameworks (pytest, unittest), scripting, and automation.
As well as an understanding of the Torch framework with demonstrated experience supporting applications that make use of it.
Familiarity with ML model serving, retraining pipelines, or MLOps tooling.
Working knowledge of JavaScript/TypeScript and modern front-end frameworks relevant to maintaining the existing applications.
Hands-on experience with Docker for building, deploying, and managing containerized applications.
Compensation & Benefits
$125,000 - $150,000/year
Solid Power offers a comprehensive benefit package that includes medical/dental/vision insurance, employer paid Life/AD&D/STD/LTD insurance, 401k with company match, 8 paid holidays + the week between Christmas and New Years off, Unlimited PTO, up to six (6) weeks paid FMLA leave, cell phone reimbursement and eligibility to participate in our bonus and equity plans.
Responsibilities
Solid Power is seeking a Scientific Software Engineer to join our talented team of scientists working to revolutionize the battery industry through the development of next‐generation, all solid‐state rechargeable batteries.
Solid Power is a dynamic, fast‐paced, collaborative, and innovative team environment.
This role is purpose-built to ensure the long-term health, resilience, and self-sufficiency of mission-critical, internally-developed software platforms, including: an end-to-end data lineage tool (tracking cell precursor information through electrochemical cycling) and a materials informatics platform (featuring ML-based prediction of cell performance, automated EIS fitting, and Bayesian optimization workflows).
Familiarity with battery systems and machine learning workflows are strongly preferred.
Work with Materials Informatics team members to refactor scientist-developed exploratory code into robust, modular, production-ready applications.
Propose systems/workflows to address common user feedback for existing systems, especially managing user access, authentication flows, and frontend GUI troubleshooting.