Remote Sensing Engineer - Microwave & Atmosphere Retrievals

Spire; Vale of White Horse; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading space analytics company in the UK seeks a Remote Sensing Engineer to lead the calibration and validation of microwave sensing instruments. The ideal candidate will have a PhD or MSc in a relevant field, expertise in algorithm development, and strong programming skills in Python. The position offers a hybrid work model with a minimum of three office days per week, along with a range of global perks including generous time off and education assistance.

Benefits

Name Your Satellite Program (NYSP)

Launch Attendance

Generous Time Off Policy

Education Assistance Program

Employee Assistance Program (EAP)

Employee Stock Purchase Program (ESPP)

Family Leave

Fitness Reimbursement

Employee Referral Program

Healthy snacks & beverages in every office

Qualifications

• Experience in microwave instrumentation or remote sensing instrumentation.
• Understanding of calibration and validation of remote sensing payloads.
• Experience in developing retrieval algorithms for satellite microwave sensors.
• Advanced programming ability in Python.
• Proficient with Linux and cloud environments.

Responsibilities

• Lead in-orbit calibration and validation of microwave instruments.
• Maintain scientific code base for processing microwave sensor data.
• Lead algorithmic development for atmospheric retrievals.
• Collaborate with multi-disciplinary teams to enhance sensing capabilities.
• Analyze large-scale Earth observation datasets.

Skills

Microwave instrumentation

Algorithm development

Scientific coding (Python)

Data analysis

Calibration techniques

Education

Advanced degree (PhD or MSc) in physics, engineering, remote sensing, or atmospheric science

Tools

Linux environments

AWS

Databricks

Job description

A leading space analytics company in the UK seeks a Remote Sensing Engineer to lead the calibration and validation of microwave sensing instruments. The ideal candidate will have a PhD or MSc in a relevant field, expertise in algorithm development, and strong programming skills in Python. The position offers a hybrid work model with a minimum of three office days per week, along with a range of global perks including generous time off and education assistance.