Spacecraft Scheduling Software Engineer (Mathematical)

Spire; Glasgow; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

NYSP Program

Launch Attendance

Education Support

Employee Stock Purchase Program (ESPP)

Family Leave

Fitness Reimbursement

Healthy snacks & beverages

Job summary

Spire Global seeks a Mathematical Software Engineer to advance scheduling for its nanosatellite constellation and ground network. You will design, build, and deploy features for intelligent automation of operations over hours and days, improving planning capabilities and system resilience.

You will contribute to robust software in a highly dynamic space environment, collaborating with teams across the company and operating within a hybrid work model.

Qualifications

• Strong mathematics or modelling systems skills.
• Proven ability to write robust software applications.
• Comfort working in a dynamic environment while delivering on evolving requirements.
• Solid understanding of version control, testing, debugging and build systems.
• Bachelor's degree or equivalent in Computer Science, Mathematics or similar discipline.

Responsibilities

• Develop new scheduling capabilities such new types of orbital maneuver planning, or ground-system contact scheduling strategies.
• Iterate on features based on stakeholder feedback and evolving requirements from the business.
• Build and refine observability dashboards and alerts.
• Support live operations of constellation scheduling software.
• Improve the team's development environment and processes.
• Investigate and mitigate issues that arise in production systems.

Skills

Rust programming

Combinatorial optimization

Orbital mechanics knowledge

Software development

Cloud / Docker / Kubernetes

Education

Bachelor's degree in Computer Science or Mathematics

Tools

AWS

Terraform

Docker

Kubernetes

Job description

Spire Global seeks a Mathematical Software Engineer to advance scheduling for its nanosatellite constellation and ground network. You will design, build, and deploy features for intelligent automation of operations over hours and days, improving planning capabilities and system resilience.

You will contribute to robust software in a highly dynamic space environment, collaborating with teams across the company and operating within a hybrid work model.