Mission Planning Software Engineer

United States Digital Space LLC

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Virtual share options (VSOP)
Flexible hybrid work

Zusammenfassung

United States Digital Space LLC is seeking a Mission Planning Software Engineer in Munich to shape software systems enabling automated, scalable mission planning for our satellite constellation.

You will collaborate with Imaging Operations, Flight Operations, and Product teams to translate mission needs into technical direction and robust designs, driving CI/CD and IaC adoption in production environments.

Qualifikationen

  • Bachelor’s or Master’s degree in a technical field (Aerospace/CS/Physics).
  • 3–5+ years of software engineering or space systems experience.
  • Strong background building production-grade distributed systems and backend services.
  • Experience with mission planning, scheduling, automation, or orchestration in complex ops environments.
  • Proficiency in Python, Java, SQL; containerised app development.
  • Linux production environments, deployment, debugging, performance tuning.

Aufgaben

  • Build core mission planning services for a growing satellite constellation.
  • Shape architecture for scalable, reliable mission planning systems.
  • Run, monitor, and maintain mission planning systems in production.

Kenntnisse

Python
Java
SQL
Distributed systems
Space systems experience
CI/CD

Ausbildung

Bachelor’s or Master’s in Aerospace Engineering, Computer Science, Physics

Tools

Kubernetes
Docker
Terraform
AWS
PostgreSQL

Jobbeschreibung

Location:Hybrid, Munich

Team & Reporting line: Imaging Operations/Mission Planning Unit, Reporting to the Image Operations Lead.

Our Mission

At the company, we're harnessing the power of space to solve one of Earth’s greatest challenges: climate resilience & security in a changing world. Our thermal satellite constellation delivers the most accurate land surface temperature data on the market, equipping commercial players, governments, defence agencies, and global institutions with the thermal intelligence they need to make strategic decisions– from national security and infrastructure to agriculture and climate resilience.As a fast-scaling company with offices in Brussels, Freiburg, Munich, Washington and Toulouse, our multidisciplinary team of engineers, scientists, and strategists is building the future of space-based Earth observation.

Your Role:

As our Mission Planning Software Engineer, you will shape the software systems that enable automated, scalable mission planning for our satellite constellation. Working at the intersection of space operations and software engineering, you will transform mission objectives and operational constraints into reliable planning systems that power daily satellite activity. You will collaborate across operations and product teams to define how missions are planned and executed at scale, supporting the evolution from manual workflows to a unified, automated platform that directly drives satellite command and imaging execution.

Key Responsibilities:
  • Build core mission planning services and algorithms that power mission planning applications for a growing satellite constellation
  • Shape the architecture and design of mission planning systems to ensure scalability, reliability, and long-term operability
  • Run, monitor, and maintain mission planning systems in live production environments
  • Define engineering standards for reliability, CI/CD, infrastructure-as-code, observability, safety, and operational compliance
  • Collaborate across Flight Operations, Flight Dynamics, Payload, Satellite Operations, and Product leadership to turn mission needs into technical direction and system design
  • Drive adoption of CI/CD pipelines, infrastructure-as-code, and robust deployment practices across mission-critical systems
  • Translate mission requests into executable satellite telecommands, including interaction with the telecommand database
  • Align mission plans with onboard scheduling and execution constraints to ensure feasible satellite operations
About you
Required:
  • Bachelor’s or Master’s degree in Aerospace Engineering, Computer Science, Physics, or a related technical field
  • 3–5+ years of experience in software engineering, space systems engineering, satellite operations software, or ground segment development
  • Strong experience building production-grade distributed systems, backend services, or mission-critical software
  • Experience designing or working with mission planning, scheduling, automation, or orchestration systems in complex operational environments
  • Strong software engineering skills in Python, Java, SQL, and containerised application development.
  • Proven experience developing reliable, scalable software for production environments with a strong focus on correctness, robustness, and maintainability
  • Familiarity with Linux environments and operating services in production (deployment, debugging, performance tuning)
  • Experience with infrastructure components such as AWS, CI/CD pipelines, containerised deployments, and service orchestration
  • Ability to design and debug complex systems involving multiple services, data flows, and external operational dependencies
  • Strong communication skills and ability to collaborate effectively with Imaging Operations, Flight Operations, product and engineering teams
  • High level of ownership, autonomy, and attention to detail in mission- or safety-critical contexts
  • Comfort working in a fast-paced environment where systems evolve quickly, and operational reliability is essential
Nice to Have:
  • Prior exposure to satellite operations environments or ground segment toolchains; particularly satellite tasking, commanding, and on-board schedule (plan) generation.
  • Experience with real-time systems or high-reliability distributed systems.
  • Experience with data systems and observability tooling (e.g., PostgreSQL, time-series databases, Grafana, logging/monitoring stacks).
  • Experience designing and consuming RESTful APIs, and Django for server-side web application development.
  • Hands-on experience with infrastructure as code (Terraform, Terramate) and automated configuration management using Ansible.
  • Ability to build full-stack web applications with Next.js, JavaScript, HTML, and CSS.
  • Experience managing cloud infrastructure on AWS.
  • Theoretical and applied background in AI planning and optimisation, including PDDL formulation, constraint satisfaction, Markov decision processes, and combinatorial optimisation algorithms.
  • Practical experience integrating automated planning and optimisation algorithms into real-world software systems.
  • Experience in event-driven software architecture design and implementation.
  • Hands-on experience with container orchestration using Kubernetes.
Why join the company?
  • High-Impact National Security Mission: Be part of an ambitious mission to launch the world’s first commercial thermal infrared constellation, delivering sovereign-grade "behavioural" intelligence from space to close critical blind spots for defence, intelligence, and maritime surveillance agencies.
  • Fast-Paced "New Space" Innovation: Work at the leading edge of a rapidly evolving defence sector. By leveraging modern, agile New Space methodologies, you will help design, build, and deploy dual‑use thermal payloads into operational orbit at a speed and scale that traditional aerospace models simply cannot match.
  • Broad Interdisciplinary Exposure: Accelerate your professional growth by collaborating daily with a diverse, international cohort of astrophysicists, software developers, and defence‑system engineers.
  • Inclusive & Scientific Culture: Join a high-trust team deeply committed to diversity, inclusion, and scientific excellence, where academic curiosity is paired with high autonomy and a flat hierarchy.
  • Financial Upside & Well‑being: Benefit from a Virtual Share Option Plan (VSOP) for permanent employees, giving you a true stake in the company's growth, alongside highly flexible hybrid working models.

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