Staff R&D Data Engineer, Hardware Systems
Skills
About the Role
You will design and maintain structured data storage across R&D tools, integrating experimental run data, metadata, and manufacturing and QC data so it is easy to query and analyze. You will build analysis and visualization tools, program and maintain data acquisition software for lab and pilot equipment, and run statistical and regression analyses that connect manufacturing and QC data with experimental results. You will partner with scientists and engineers to translate their data needs into reliable tools and workflows, and help maintain the IT infrastructure that houses the data.
Requirements
- BS/MS in engineering, physical science, computer science, data science, or related field
- 10+ years experience with data in a hardware, lab, or physical-science R&D environment
- Demonstrated strength across the full data lifecycle
- Proven track record establishing or improving data storage and analysis infrastructure
- Expert level SQL and Python proficiency
- Experience handling time-series and sensor data
- Statistical and regression analysis on experimental data
- Proficiency with at least one DAQ platform
- Fluency using AI coding assistants
- Strong communication skills
Responsibilities
- Design and maintain structured data storage across R&D tools
- Build analysis and visualization tools for the team
- Program and maintain data-acquisition software for lab and pilot test equipment
- Run statistical and regression analyses that connect manufacturing and QC data with experimental run data
- Partner with scientists and engineers to understand their data needs and translate them into tools and workflows
- Help maintain the IT infrastructure of servers and software systems that house the data
Benefits
- Meaningful equity compensation
- Generous PTO
- Excellent insurance with 100% of healthcare, vision, and dental premiums covered for the employee and 80% coverage for dependents
- 401(k) with company match
