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Senior Software Engineer

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Job Description

About Dioxycle


Dioxycle is pioneering breakthrough carbon utilization technologies that convert industrial emissions into sustainable chemicals with unprecedented energy and cost efficiency. By displacing fossil fuels for the production of key chemicals, Dioxycle has the potential to ultimately reduce over 800 million tons of CO2 per year, representing over 2% of the world's emissions.

At the core of our process is a novel "carbon electrolyzer", a machine capable of using just electricity and water to convert carbon emissions back into valuable everyday essential chemicals. Our team is innovating across chemical, mechanical and system engineering to turn carbon transformation into an economically feasible, industrial reality through this completely novel technological approach. Having completed our medium-scale Proof-of-Concept electrolyzer, we are now working towards a first-of-its-kind large-scale industrial prototype and are assembling key partnerships for future commercial roll-out.


We are supported by world-class funders including Lowercarbon Capital, Breakthrough Energy Ventures and Gigascale Capital and have raised $37M to date. We operate from two centers in Paris and California (so whether you are passionate about outdoors or good food/art scenes, we have a location for you to join!)


Your Mission


Dioxycle is developing an in-house platform to control lab-scale electrolyzers and industrial prototypes in its different facilities and collect the data they produce. We are seeking a Senior Software Engineer to take full responsibility of the development and maintenance of this platform which is used daily by our engineers, playing a crucial role in supporting our mission of abating CO2 emissions by turning them into products we use every day.


In this capacity, your responsibilities will center around:


- Full stack development: develop our control system software (Python, React [TypeScript], PostgreSQL, C, etc.);

- Data engineering: put in place scalable ETL processes for our experimental and production data, develop data dashboards to support the R&D team analyses

- DevOps: develop a CI/CD process, manage our local and cloud infrastructure (AWS)

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