LiveEO is building Twinspector its own dual-satellite very-high-resolution stereo constellation and moving from design into implementation. We need a Senior Satellite Image Processing Engineer (f/m/x) to own the end-to-end data product chain: from raw detector output, through onboard processing on the satellite, to ground L1A/L1B generation, radiometric and geometric calibration, and delivery-ready imagery. This is a highly technical, mission-critical role at the core of what makes Twinspector's data products viable.
You will work daily with hardware and software partners instrument supplier, onboard data handling partner, and LiveEO's internal ground processing and product teams as well as with geospatial data engineers and ML engineers within the Govt/AI team who will consume the imagery products you help define. You'll contribute to ICD definition, interface discussions, and verification planning, requiring you to translate between system-level hardware constraints and ground processing realities.
Tech stack and tools:
EO & Remote Sensing: radiometric and geometric calibration for pushbroom TDI sensors
CEOS processing levels (L0/L1A/L1B)
onboard/ground processing chain design
Standards & Formats: DIMAP, GeoTIFF/COG, STAC
Language: Python (data analysis, processing workflows, automation)
Infrastructure: AWS (S3, EC2)
Processing chain ownership
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.
Data product & format definition
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).
Own the consolidated metadata parameter set as one concrete deliverable within this; specifying what gets recorded, by which component, and how it propagates through to the final product.
Act as the primary interface to hardware partners on data format specifications and interface control documents.
Calibration strategy & execution
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 ML Lifecycle & Data-Model Integration.
Partner interfaces & verification
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).
Contribute to schedule and work package planning for CDR and subsequent development phases Cloud Infrastructure & Tooling.
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.
On-board processing (supporting role)
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.
The opportunity to create a product that can improve business processes and lives across the globe.
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.
LiveEO is a well funded startup founded in 2018 and based in Berlin. Our primary service is modelling risk to our customers’ assets and infrastructure from vegetation, ground deformation and change detection. We currently have around 160 employees from all over the world with a variety of backgrounds
