About the role
We are looking for a Flight Software Engineer with strong software fundamentals, real embedded or flight software experience, and the judgment to build robust systems under practical constraints. This role sits close to the hardware and close to the mission: you will help define how onboard systems collect data, manage resources, handle failures, and move information from sensor to storage to downlink.
In this role, you will work across the full stack of flight software, from low-level interfaces and concurrency primitives to application-level services and end-to-end test infrastructure. You will be expected to reason clearly about trade-offs, debug across hardware and software boundaries, and build systems that are simple enough to trust when the environment gets messy.
As an early member of the team, you will also help shape the engineering culture around flight software: how we write interfaces, test behavior, document assumptions, review designs, and balance first-principles rigor with pragmatic execution.
What you’ll do
You will build and maintain the software that enables Matter’s sensing systems to operate reliably in constrained, real-world environments. The work spans embedded Linux, onboard data handling, hardware interfaces, concurrency, fault handling, test infrastructure, and integration with broader mission systems.
You will collaborate closely with hardware, avionics, science, and data teams to turn ambiguous requirements into clear designs and production-quality implementations. You will help create software that can be exercised in simulation, validated in hardware-in-the-loop environments, and trusted as the system matures toward flight.
Design, implement, and maintain flight software services for sensing payload operations, onboard data handling, resource management, and system coordination
Build robust interfaces to hardware and lower-level systems, including drivers, protocol integrations, and debugging tools when needed
Develop software for embedded Linux environments, including Jetson-class devices and constrained compute targets
Reason carefully about concurrency, bounded memory, performance, and failure modes in systems where correctness and operational safety matter
Build and improve data paths for collection, compression, storage, and downlink, balancing throughput, latency, reliability, and power constraints
Partner with hardware and avionics teams to debug hardware/software interactions and bring up new system capabilities
Use simulation, software-in-the-loop, and hardware-in-the-loop testing appropriately to validate behavior at the right level of fidelity
Improve build, test, and release workflows, including reproducible builds, automated testing, static and dynamic analysis, and artifact traceability
Write clean interfaces, useful explanatory comments, and design documentation that make the system easier for future teammates to understand and extend
What we’re looking for
You have professional experience building flight software, embedded systems, or similarly constrained software where reliability, debuggability, and performance matter. You are comfortable working close to the hardware, but you also care about higher-level architecture, maintainability, and the developer experience of the systems around you.
You can debug across the full stack: hardware interfaces, threads and processes, filesystems, compression, protocols, and test infrastructure. You know when to reach for simulation, when to move to hardware, and how to use both without fooling yourself.
You communicate well across disciplines and can work with hardware, software, and science teammates to resolve integration challenges. You are proactive about unblocking issues, giving and receiving constructive feedback, and making thoughtful trade-offs under time pressure.
A few things we expect in this role:
2–6+ years of professional flight software, embedded software, or closely related systems experience
Strong programming skills in Python and either C++ or Rust
Experience with multi-threading, memory management, performance optimization, and constrained-system design
Hands-on experience with build systems such as CMake or Make, cross-compilation toolchains, and embedded Linux
Experience with low-level communication protocols, hardware/software debugging, and fault-tolerant system design
Strong instincts for testing, reproducibility, observability, and clean software interfaces
Comfort reasoning about concurrency trade-offs, including bounded memory, locking strategies, lock-free approaches, and static analysis
Judgment when using AI-assisted coding tools such as Claude Code or Cursor, with an emphasis on reducing technical debt rather than accelerating it
A first-principles approach to problem solving, with the pragmatism to ship robust solutions instead of waiting for perfect ones
Nice to have
These are not required, but they are strong signals you will ramp quickly and have outsized impact:
Experience designing and maintaining CI/CD pipelines, automated test systems, static or dynamic analysis workflows, and artifact traceability, especially in GitLab
Experience with hardware-in-the-loop testing, simulation infrastructure, or fidelity-based test strategies for embedded or flight systems
Experience architecting onboard data paths under real-world constraints, including filesystems, compression, buffering, downlink, latency, throughput, and power budgets
Proven ownership of projects from requirements through design, implementation, test, deployment, and operational support
Experience working with sensors, payload systems, avionics, robotics, satellites, aerospace systems, or other hardware-rich environments
Genuine curiosity about geospatial systems, sensing, and building software with real-world physical impact
About Matter
Matter is building sensor infrastructure to read the Earth’s material fingerprint from orbit, turning previously inaccessible data into critical intelligence for industries like agriculture, mining, insurance, resource management, and environmental monitoring. We are revealing a layer of detail about the planet that has never been seen before.
Founded by engineers and scientists with deep NASA/JPL roots, Matter combines meticulous, first-principles science with the speed, ownership, and practical focus of an early-stage startup. Our work spans hardware, sensing, flight software, data infrastructure, and AI systems, and the software we build must hold up across the full path from collection through customer-facing insight.
This role sits close to the core of the mission. You will work with people across hardware, science, and software, and your work will shape how reliably we can collect data, operate payload systems, and learn from the physical world.
Why this role
This is a rare chance to build foundational flight software for a sensing system that has to work outside the comfort of ordinary production environments. The constraints are real, the feedback loops are hands-on, and the quality bar matters.
You will have meaningful ownership over architecture, implementation, and test strategy in a fast-moving environment. You will help define how Matter builds reliable flight software: how we structure services, validate behavior, handle failure, and make the system understandable to the people who operate and extend it.
If you’re excited about building robust software close to the hardware, working across disciplines, and helping create a new way to understand the physical world, we’d love to talk.