Own the definition and documentation of the full data processing chain from L0 (raw detector output) through onboard processing to ground L1A / L1B generation.
Drive decisions on which processing steps run onboard vs. on the ground, balancing bandwidth constraints, data quality, and storage budgets.
Maintain the processing architecture as a living technical baseline as the design matures through CDR and into implementation.
Define what the satellite produces at each stage of the chain: sensor output packet format and embedded telemetry, onboard data handling format, downlink packaging, and the final image product specification (structure, format, delivery).
Act as the primary interface to hardware partners on data format specifications and interface control documents.
Own the in-orbit calibration programme: DSNU / PRNU correction table management, side-slither maneuver planning, lunar drift monitoring, and vicarious calibration campaigns at reference sites.
Develop and maintain the ground L1B processing chain: flat-field correction, radiometric calibration, geometric sensor modelling, and RPC generation.
Plan and execute the commissioning calibration campaign (~6 months post-launch), including inter-satellite cross-calibration for stereo consistency.
Lead technical interface discussions with hardware partners on onboard processing constraints and ICDs.
Support definition and execution of end-to-end simulation and verification campaigns (onboard and on-ground).
Maintain our AWS-based cloud stack and Databricks environments, and drive adoption of cloud-native geospatial standards (COG, Zarr, STAC) to future-proof the data platform.
Requirements
Strong working knowledge of optical satellite data processing from raw to analysis-ready (L0→ L1B).
Radiometric and geometric calibration for space-borne optical instruments.
Able to hold the system-level picture (end-to-end data flow, onboard/ground interdependencies) while engaging with low-level technical details.
Comfortable in multi-stakeholder, multi-supplier environments where interfaces are still being defined.
Background in space systems engineering, remote sensing, or a closely related field.
Python for data analysis, processing workflows, and automation.
Experience with TDI pushbroom sensor calibration specifically is a plus.
In-orbit calibration campaign planning or execution is a plus.
Familiarity with onboard processing hardware (embedded Linux, hardware-constrained environments) is a plus.
Experience with stereo satellite missions or photogrammetry is a plus.
Familiarity with VHR commercial satellite data (Pleiades, WorldView, SuperView) and their calibration approaches is a plus.
Experience with ICD or interface definition in space projects is a plus.
Tech Stack
AWS
Cloud
Linux
Python
Remote Sensing
Benefits
Flexible working hours and hybrid work model
we trust our employees to get their work done while maintaining a healthy work-life balance.
We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
Not an overtime culture
we take care that overtime is done only as a necessity and always offset with time off and rest.
A collaborative and learning environment
frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks.
A diverse and vibrant international environment of 30+ different nationalities.
Potential to participate in the employee stock option program.
Urban Sports membership and BVG subsidy, corporate pension program.