Staff R&D Data Engineer, Hardware Systems

Design and maintain structured data storage across R&D tools, integrate experimental, manufacturing, and QC data, build analysis and visualization tools, maintain data-acquisition software, perform statistical analyses, and partner with scientists and engineers on reliable data workflows.

Responsibilities

• Design and maintain structured data storage across R&D tools.
• Build analysis and visualization tools for R&D and pilot experiments.
• Program and maintain data-acquisition software for laboratory and pilot equipment.
• Run statistical and regression analyses connecting manufacturing, QC, and experimental data.
• Partner with scientists and engineers to translate data needs into tools and workflows.
• Help maintain IT infrastructure supporting R&D data systems.

Requirements

• BS/MS in engineering, physical science, computer science, data science, or a related field.
• 10+ years of experience with data in a hardware, laboratory, or physical-science R&D environment.
• Strength across data acquisition, infrastructure, pipelines, visualization, and statistical analysis.
• Track record establishing or improving data storage and analysis infrastructure.
• Expert SQL and Python proficiency, including pandas/NumPy, query optimization, and schema design.
• Experience with time-series and sensor data, including alignment, gap-filling, and schema reconciliation.
• Statistical and regression analysis experience with experimental data.
• Proficiency with at least one DAQ platform such as LabVIEW, DAQ Factory, or Ignition.
• Fluency using AI coding assistants with judgment to validate generated output.
• Strong communication skills and ability to work independently as the senior-most data professional.

Benefits

• Meaningful equity compensation
• Generous PTO
• Healthcare, vision, and dental premiums fully covered for employees and 80% covered for dependents
• 401(k) with company match
• Challenging, collaborative, and meaningful work