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Constellr

Provides satellite-derived land surface temperature insights

Payload Data Processing Engineer

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • A degree in physics, electrical or electronics engineering, aerospace engineering, remote sensing, computer engineering or computer science, or a related field.
  • Several years of relevant professional experience with Earth-observation satellite imaging systems, payload data, or sensor/image processing.
  • Strong understanding of imaging sensors, detectors, imaging modes, and ideally time-delay integration (TDI) and compression architectures.
  • Understanding of onboard timing, including multiple clocks, pulse-per-second (PPS) synchronization, and how timestamp errors arise and are corrected.
  • Solid understanding of L0–L1C processing, including radiometric and geometric aspects of optical and thermal sensors; L2a processing is a plus.
  • Strong Python skills for analysis, prototyping, and algorithm development.
  • Ability to understand performance-critical software and work across the boundary between algorithms and hardware.
  • Ability to think across the sensor, electronics, payload, spacecraft, processing, and product chain.
  • Ability to work independently, take ownership, and communicate effectively across disciplines.
  • Excellent English communication skills.

Responsibilities

  • Develop understanding of payload data, metadata, imaging modes, and detector behavior, and how detector, optical, and electronics design influences processing algorithms and product quality.
  • Work with TDI and block-TDI concepts and translate instrument operating modes into appropriate processing-chain designs.
  • Follow data from L0 to L1C and trace artifacts and anomalies in ground products back to their detector, electronics, or spacecraft origin.
  • Analyze timing, synchronization, and telemetry, including multiple clocks, PPS synchronization, drift, offsets, temperatures, attitude, and pointing information.
  • Develop sensor and payload-data simulators for new satellite systems, including realistic data formats, metadata, timing behavior, and imaging artifacts.
  • Support instrument characterization, commissioning, and in-orbit performance analysis.
  • Contribute to the design of next-generation onboard processing, potentially up to L1C, accounting for DPU and platform constraints such as compute, memory, power, data rate, latency, real-time and deterministic processing, and radiation.
  • Adapt ground algorithms to onboard processor constraints and determine how algorithms must be structured to fit the hardware; this may include porting prototypes from Python to C++ or Rust.
  • Act as a technical bridge between payload/satellite engineering, operations, and ground processing.

Desired Qualifications

  • Experience with C++ or Rust, or porting algorithms to constrained, embedded, or real-time targets.
  • Experience with onboard processing or payload data handling units.
  • Experience with sensor/instrument simulation and synthetic data generation.
  • Experience with image compression and high-throughput data handling.
  • Experience with radiometric calibration, non-uniformity correction (NUC), and sensor characterization.
  • MWIR/TIR-specific experience in sensor design and processing needs.

About the Company

Constellr

Provides satellite-derived land surface temperature insights

Constellr provides thermal intelligence data from its own microsatellite constellation to support climate resilience and sustainable resource management. Its HiVE satellites use cryogenically cooled thermal infrared sensors to measure land surface temperature at 30-meter resolution, and the data feeds into the HeatR cloud platform as a data-as-a-service for crop health, water stress, soil conditions, and urban-heat monitoring. Unlike others who sell satellites or images, Constellr delivers actionable analytics to analytics firms, smart farming operators, governments, and critical infrastructure owners that can be integrated into existing workflows. The company aims to complete its commercial constellation and expand its presence in the US and Brazil to enable proactive resource efficiency and environmental stewardship.

Company size
51-200
Company stage
Series A
Total funding
$82.2M
Headquarters
Freiburg, Germany
Founded
2020

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