Forward-Deployed Engineer, Earth Observation

The Compression Company•San Francisco, CA

10d

About The Position

You will lead deployments of our compression system into real EO workflows. This role spans both sides of the product: making encoding work reliably on constrained hardware (including onboard satellite-class systems), and validating that compressed data remains useful for downstream processing and ML pipelines. You'll work directly with customers and partners, translate operational realities into platform requirements, and help turn early deployments into a repeatable motion. We intend to hire two people into this role profile, with complementary strengths across edge deployment and EO analytics. You might be a fit if... You've shipped EO or imaging ML systems into production, including onboard or edge environments You can own integration, debugging, and validation end-to-end across hardware + software You've worked with constrained deployments (compute, power, bandwidth, reliability) and performance tradeoffs You're comfortable working with customers and shaping technical requirements. Sample projects include: Deploying and hardening the encoder on Jetson / satellite-class hardware, Integrating our codec into customer pipelines and validating analytics and model utility, Defining EO evaluation suites that match operational acceptance criteria, Building deployment playbooks and monitoring hooks that make rollouts repeatable.

Requirements

Shipped EO or imaging ML systems into production, including onboard or edge environments.
Own integration, debugging, and validation end-to-end across hardware + software.
Worked with constrained deployments (compute, power, bandwidth, reliability) and performance tradeoffs.
Comfortable working with customers and shaping technical requirements.

Responsibilities

Lead deployments of our compression system into real EO workflows.
Make encoding work reliably on constrained hardware (including onboard satellite-class systems).
Validate that compressed data remains useful for downstream processing and ML pipelines.
Work directly with customers and partners.
Translate operational realities into platform requirements.
Help turn early deployments into a repeatable motion.
Deploying and hardening the encoder on Jetson / satellite-class hardware.
Integrating our codec into customer pipelines and validating analytics and model utility.
Defining EO evaluation suites that match operational acceptance criteria.
Building deployment playbooks and monitoring hooks that make rollouts repeatable.