Muon Space
Platform Engineer, Onboard Compute
About this role
Muon Space seeks a Platform Engineer to establish and maintain the shared technical infrastructure for their High Performance Compute team, managing build flows, test environments, and delivery pipelines for FPGA and GPU code while owning planning accuracy and cross-mission coherence as the mission portfolio expands.
What you'll do
- Maintain and evolve build flows, test environments, and CI/CD pipelines for FPGA and GPU code to ensure reproducible, reliable delivery
- Own toolchain environments including synthesis, simulation, cross-compilation, and containerized builds across the engineering team
- Manage complexity across multiple missions by minimizing variations and promoting reusable platform components
- Operate at the intersection of delivery and planning methods, ensuring they evolve together as the team grows
- Own the team's Jira roadmap with accurate tracking, snapshot reporting on progress and resource utilization
- Publish weekly health reports covering successes, risks, blockers, and highlights for internal and cross-company audiences
What they're looking for
- FPGA workflows and toolchains (Vivado, Quartus, or equivalent)
- GPU development and cross-compilation for embedded platforms
- Build systems, CI/CD pipelines, and test infrastructure
- Scripting and automation for toolchain orchestration
- Jira administration (epics, stories, JQL, dashboards, reporting)
- Confluence documentation and knowledge management
- Technical project planning and estimation facilitation
- Executive communication and technical writing
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Muon Space
Muon Space builds satellites and infrared remote sensing instruments for Earth observation and geospatial data collection. The company is hiring systems engineers, flight software engineers, optical engineers, and software engineers to develop spacecraft, embedded satellite systems, and internal operational software.
- Website
- muonspace.com
Likely interview questions
- Describe your experience owning build and delivery pipelines for FPGA or GPU projects—what challenges did you face managing toolchain consistency across engineers?
- How have you approached reducing mission-to-mission variations or one-off work in a multi-product environment, and what reference flows or platform contracts did you establish?