Hiring nowSpace missions and aerospace autonomy

Mission Planning AI Scientist

Also called Space Mission AI Scientist

A Mission Planning AI Scientist builds the planning and scheduling methods that decide what a spacecraft or sensor does and when. They help a company get the most science from limited power, time and bandwidth.

What they do

They turn a mission's goals and physical limits into a plan that can actually be flown. That means modelling visibility windows, power, thermal and pointing limits, data downlink and operator availability. They build or tune optimisers and learned planners, then test them in mission simulators against telemetry and past operations. They run sensitivity checks to see which constraints bite hardest. They work with flight software, operations and science teams to agree what the planner may decide alone and what a human must approve. When conditions change, they replan and explain why.

What a strong hire delivers

In the first months, a strong hire delivers a working planning model tied to real constraints, checked in simulation against known operations. They produce a mission plan with a clear feasibility and sensitivity analysis that operations and science leads both trust. They also leave a defined boundary for autonomy, a way to measure scientific yield against resources, and a repeatable process for replanning when something changes.

How you can tell they are good

Ask them to walk through a schedule they built and what limited it. Strong people name the binding constraints, show how they checked feasibility, and explain what happened when inputs shifted. Ask how they decided what to automate. Be wary of anyone who talks only about algorithms, ignores operations, or cannot say how their plan failed in testing.

Why it is hard to fill

Titles vary widely, and few people hold this one. The skill sits between optimisation, aerospace engineering and mission operations, so most candidates are strong in one area and thin in the others. Academic scientists may lack operational discipline. Operations engineers may lack modern planning methods. The best hires are often mixed backgrounds, and they rarely describe themselves with this title.

Where to find them

Look in mission operations teams, spacecraft systems and flight dynamics groups, and robotics planning teams. Space science researchers who have worked on observation scheduling are a good source. So are earth observation companies, satellite operators, launch and in-space services firms, and research institutes. Autonomy engineers from drones, rovers and other constrained robotics work often cross over well.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for a Mission Planning AI Scientist

  1. Describe a schedule or mission plan you built. What were the hardest constraints, and how did you check it was feasible?

    Strong answers name specific limits such as power, pointing, downlink or visibility, and explain the checks used in simulation or operations. Worry if constraints are vague, feasibility was assumed, or the candidate cannot say what they would change.

  2. How do you run a sensitivity analysis on a mission plan, and what do you do with the results?

    Look for varying key inputs, finding which constraints drive yield, and turning findings into decisions for the team. Worry about analysis that stops at charts, or never changes the plan or the margins.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We build systems that help spacecraft and sensors do the most useful science within hard physical limits. We are hiring a Mission Planning AI Scientist to design and test the planning methods behind our observation and mission schedules, working closely with operations, flight software and science teams.

What you will do

  • Build and tune scheduling and constrained planning methods for observation and mission operations
  • Model power, pointing, visibility, downlink and operational limits
  • Test plans in mission simulators and against telemetry
  • Produce mission plans with feasibility and sensitivity analysis
  • Define with operations what the planner may decide autonomously
  • Replan when conditions or constraints change and explain the changes
  • Measure scientific yield against resources and limits

What you will bring

  • Demonstrated mission, observation or robotics scheduling work that reached real use
  • Strong grounding in constrained optimisation and planning methods
  • Experience with simulation or digital twins for validating plans
  • Ability to read telemetry and reason about spacecraft or platform limits
  • Evidence of working with operators or flight software teams
  • Clear written explanation of trade-offs to technical and non-technical colleagues

Nice to have

  • Experience with remote-sensing or earth observation data
  • Work on bounded autonomy or fault response
  • Familiarity with flight software interfaces

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Robotics and controlAdvancedPerceive, plan and act through physical systems
  • Geospatial and earth systemsAdvancedAnalyse spatial, temporal and environmental information
  • Simulation and digital twinsWorkingBuild useful virtual representations of environments
  • Reliability and incident responseWorkingDetect failures, restore service and prevent recurrence

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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