Research Engineer, Mechanical

In this role you will

• Analyze sensor-derived measurements across our fleet. Identify anomalies and characterize measurement behavior across device populations.
• Develop analysis pipelines and tooling using Python SQL and related tools that connect sensor outputs to physical metadata and develop narratives about where our measurements are and are not effective.
• When more data is needed to solve a problem execute physical experiments to collect that data. Instrument test articles (e.g. strain gauges load cells IMUs) implement data acquisition systems and prepare comparison datasets to characterize measurement error.
• Work closely with algorithm developers product managers and other engineers to move new capabilities from measurement to customer delivery.
• Communicate findings clearly through documentation presentations and technical write-ups.

• MS or PhD in Mechanical Engineering Civil/Structural Engineering Engineering Mechanics or a closely related field.
• Strong fundamentals in solid mechanics: beam theory stress analysis structural loading. Able to reason from first principles about what physical conditions produce the stresses and deflections we measure.
• Scientific computing: comfortable building analysis pipelines in Python MATLAB or equivalent to investigate and report system performance across large datasets.
• Experience with exploratory data analysisidentifying patterns anomalies and cohort-level behavior in noisy real-world data.
• Clear technical communication and documentation skills.
• Comfortable working on ambiguous technical problems and learning new domains quickly.

Relevant Depth Areas

You do not need to match every area below. Strong candidates will usually bring depth in two or more of these areas.

• Sensor data interpretation for physical systems: experience using sensor signals to draw conclusions about the physical state of a systemdeveloping metrics identifying signal features or building monitoring workflows that translate raw measurements into actionable information.
• Statistical analysis of physical systems: experience with extreme value statistics reliability analysis survival analysis or probabilistic methods applied to structural or mechanical systems.
• Fleet-scale data analysis and data engineering: experience working with sensor data from large deployed populationsincluding SQL-based analysis on structured telemetry population-level trend identification and data quality assessment across thousands of units.
• Validation and test design: experience designing validation studies defining acceptance criteria and systematically characterizing measurement system performance.

• Experience with wood mechanics timber engineering or natural/biological materials.
• Experience with geotechnical or foundation mechanics (soil-structure interaction).
• Familiarity with GIS tools or spatial analysis for infrastructure data.
• Experience operationalizing analytical workflows into production systems (dashboards automated reporting alerting).