Senior R&D Data Engineer, Hardware Systems
Lydian builds modular, turnkey plants that convert CO₂ and hydrogen into synthetic aviation fuel.
About Lydian Labs, Inc.
Lydian Labs, Inc. is a climate-technology company founded in 2021 that develops the PIVOT™ platform: standardized, turnkey plants for producing synthetic aviation fuel from captured CO₂ and hydrogen. The company says its Boston pilot has been producing fuel since 2024 and that it is scaling toward commercial volumes beginning in 2028.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Build and own the data backbone for Lydian's technical organization by designing structured data infrastructure, integrating experimental, manufacturing, and quality-control data, creating analysis and visualization tools, programming laboratory data-acquisition software, performing statistical analyses, and supporting technical data workflows.
Requirements
- BS or MS in engineering, physical science, computer science, data science, or a related discipline.
- 5+ years of experience working with data in a hardware, laboratory, or physical-science R&D environment.
- Strengths in data acquisition, infrastructure, visualization, and statistical analysis.
- Experience establishing or improving data storage and analysis infrastructure.
- Experience in a hardware-focused chemical engineering and materials science data environment.
- Experience with time-series data and relational databases.
- Proficiency with Python and at least one data-acquisition platform: LabVIEW, DAQ Factory, or Ignition.
- Familiarity with data-acquisition hardware and software protocols.
- Strong cross-disciplinary communication skills.
- Ability to independently identify challenges, prioritize work, and implement solutions as the most senior Data professional on the team.
- Preferred background in chemical engineering, materials science, mechanical engineering, or a related field.
- Preferred experience with Notion, Nominal, JMP, additional data-acquisition platforms, IT, or networking.
Responsibilities
- Design and maintain data infrastructure across technical tools.
- Integrate experimental time-series data, run metadata, manufacturing data, and quality-control data.
- Build analysis, visualization, and statistical tools.
- Standardize and automate run summary statistics and performance metrics.
- Program and maintain data-acquisition software for R&D and pilot equipment.
- Build data-validation checks at acquisition or entry.
- Perform statistical and regression analyses across manufacturing, quality-control, and experimental data.
- Translate scientists' and engineers' data needs into reliable tools and workflows.
- Help maintain IT infrastructure for data servers and software systems.
Benefits
- Equity compensation.
- Unlimited PTO.
- Healthcare, vision, and dental insurance with 100% of employee premiums and 80% of dependent premiums covered.
- 401(k) with company match.