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Constellation Space

Software Engineer

Seattle$120k–$180kfulltimemidAdded 1 month ago

About this role

Join a startup building ConstellationOS, an autonomous operating system for satellite networks that processes 100,000+ telemetry messages per second and makes real-time routing decisions. You'll design and build distributed systems where latency, correctness, and reliability directly impact physical network performance.

What you'll do

  • Design and maintain a deterministic world model that ingests massive telemetry streams and enables network simulation and reasoning
  • Build high-throughput, event-driven distributed systems targeting 100k+ messages/sec with strict latency and ordering guarantees
  • Develop low-latency components in C++/Rust, optimizing concurrency, memory efficiency, and sub-second end-to-end reaction times
  • Implement autonomous decision pipelines that transform predictions into actionable routing and scheduling choices under real-world constraints
  • Deploy and operate systems in AWS with comprehensive observability for latency, throughput, and decision quality
  • Work directly with customers in operational environments to debug live systems and iterate rapidly

What they're looking for

  • Distributed systems architecture and design
  • C++ and/or Rust proficiency
  • Networking fundamentals and protocols
  • Real-time systems and low-latency optimization
  • Concurrency models and memory management
  • AWS infrastructure and deployment
  • Event-driven systems design
  • Systems-level performance profiling
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Constellation Space

Constellation Space builds ConstellationOS, an autonomous operating system for satellite networks that handles high-volume telemetry and enables real-time routing and operational decisions. The company is hiring Machine Learning Engineers, Flight Software Engineers, and ML research interns to develop core flight systems, deploy ML models for orbital operations, and create forecasting and anomaly detection capabilities.

View all jobs at Constellation Space

Likely interview questions

  • Walk us through a time you designed a distributed system to handle high-throughput, low-latency data. What were the key architectural decisions?
  • Describe your experience building data ingestion pipelines. How did you ensure reliability and performance at scale?
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