Sensor Data Engineer

WindBorne Systems; Redwood City (CA); Presencial; USD 100.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k)

Health insurance

Stock options

Unlimited PTO

Office snacks

Descripción de la vacante

WindBorne Systems is hiring a Sensor Data Engineer to own the software turning raw measurements from a global balloon constellation into weather data. You will manage a pipeline processing temperature, humidity, pressure, position, and wind data across hundreds of balloons with a focus on data quality.

The role requires strong Python and data-analysis skills, knowledge of databases and Linux systems, and the ability to work across hardware and software teams.

Formación

• Must have strong intuition for sensors, physics or statistics.
• Able to communicate clearly about complex technical systems.
• Strong Python and data-analysis skills; willing to learn databases, Linux systems and production services.
• High agency; comfortable owning systems end-to-end with minimal oversight.

Responsabilidades

• Own software that turns raw balloon measurements into weather observations in customer-facing databases.
• Develop sensor processing and quality-control algorithms for temperature, pressure, humidity, wind, etc.
• Investigate pipeline failures, data loss and quality issues.
• Improve architecture and scalability of sensor-processing systems as the constellation grows.

Conocimientos

Sensor intuition

Strong communication

End-to-end ownership

Data analysis

Herramientas

Python

PostgreSQL

Linux

Descripción del empleo

WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufacture, and operate our own balloons, using the data they collect to generate otherwise unattainable weather intelligence.

We're hiring a Sensor Data Engineer to own the software that turns raw measurements into weather data. You'll be responsible for a pipeline that continuously processes temperature, humidity, pressure, position, and wind data from hundreds of balloons around the globe, supporting rapidly changing hardware while maintaining absolute trust in data quality.

Sensor data can fail silently: a 1 °C temperature bias can creep into the data and impact live weather forecasts without raising any alarm bells. You should care how each of our sensors works and be paranoid about the dozens of ways a measurement can become biased or noisy. You do not need to arrive as an expert in production software systems, but you do need to be willing and able to learn what is needed to manage them.

The ideal candidate for this role thinks like a scientist and wants to own our growing sensor processing software stack. We are a small team working in a fast-paced, constantly changing environment, and while the core job function involves software systems, you’ll have the opportunity to do wide-ranging work across all aspects of our atmospheric sensors, from hardware R&D to collaborating with academic partners.

What you’d own

• Production software that converts raw balloon measurements into weather observations in customer-facing databases
• Sensor processing and quality control algorithms for temperature, pressure, humidity, wind, and other measurements
• Investigating pipeline failures, including data loss and quality issues
• Improving the architecture and scalability of sensor-processing systems as the constellation grows

You'd be a good fit if you

• Have strong intuition for sensors, physics, and/or statistics and can reason from first principles
• Can communicate clearly about complex technical systems across hardware and software teams
• Have strong Python and data-analysis skills and are willing to learn how to manage databases, Linux systems, production services, and 24/7 data pipelines
• Have high agency and are comfortable owning systems end-to-end with minimal oversight

Bonus

• Background in physics, atmospheric science, computer science, or another quantitative engineering field
• Experience with instrumentation, calibration, meteorological sensors, or scientific measurement systems
• Experience with statistics, filtering, or production data-processing systems
• Experience working in a fast-moving R&D environment

Compensation and location

• Base salary: $100,000–$200,000, depending on experience and scope.
• Location: In person at 1600 Bridge Parkway, Redwood Shores, CA.
• Benefits: 401(k), health, dental and vision insurance, unlimited PTO, stock options, and office food and beverages.