Main Template

Mach Industries•Huntington Beach, CA

About The Position

Mach Industries is building autonomous systems that must be thoroughly tested and validated in a multi layered process, long before they are flown. As a Senior Software Engineer, Infrastructure & Simulation, you will build the simulation and validation infrastructure that enables rapid iteration and high confidence in real-world performance. Your work will sit at the foundation of our autonomy stack, powering Monte Carlo, software-in-the-loop (SITL), hardware-in-the-loop (HITL) and large-scale simulations across Mach product lines.

Requirements

Strong software engineering fundamentals with 5+ years of experience building production systems or developer infrastructure.
Proficiency in C++ and at least one systems language such as Python, Rust, or C.
Experience building or working with simulation, testing, or validation frameworks for complex software or embedded systems.
Familiarity with CI/CD pipelines, containerization (Docker), and modern build systems.
Experience scaling test infrastructure across distributed or cloud compute environments.
Knowledge of infrastructure tooling such as Jenkins, GitHub Actions, Terraform, or similar.

Nice To Haves

Experience with SITL / HITL environments for robotics, autonomy, or embedded platforms.
Familiarity with Linux-based systems, embedded software, or low-level drivers.
Background in safety-critical or high-reliability systems.

Responsibilities

Design, build, and maintain simulation and validation infrastructure for aircraft systems, including discrete simulations of avionics, sensors, power distribution, flight controls, and embedded software.
Develop and operate Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) frameworks to support rapid development, regression testing, and system validation across flight autonomy and embedded stacks.
Build software infrastructure to emulate bare-metal drivers, avionics peripherals, and aircraft system behaviors, enabling early validation, fault injection, and failure-mode testing.
Create and scale automated test pipelines that integrate simulation and HIL into CI/CD workflows to continuously validate flight software performance, safety, and reliability.
Collaborate closely with autonomy, embedded, avionics, and systems engineers to define robust test strategies aligned with real-world flight profiles, environmental conditions, and operational constraints.
Improve simulation fidelity, determinism, and performance to close the gap between simulated behavior and real aircraft dynamics.
Optimize build and test infrastructure to leverage parallel execution, cluster computing, and shared compute resources for large-scale simulation and regression workloads.
Define, track, and evolve metrics for test quality, coverage, and traceability, driving continuous improvement in aircraft software validation and confidence.