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Mach Industries

Develops unmanned military systems and propulsion

Autonomy and Robotics Software Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's, master's, or PhD in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Machine Learning, or a related field, or at least 3 years of equivalent practical experience as a software engineer.
  • Strong software engineering skills in modern C++ on Linux and Python for tooling, analysis, or machine-learning workflows.
  • Ability to take systems from research or prototype into reliable deployment on hardware.
  • Deep technical strength in at least one core domain such as perception, localization and state estimation, navigation, planning, machine learning, or embedded autonomy.
  • Experience building and debugging real-world robotics, autonomy, or embedded software systems.
  • Applicants must be a U.S. citizen or national, U.S. lawful permanent resident, refugee, or asylee, or be eligible to obtain the required authorizations from the U.S. Department of State.

Responsibilities

  • Design, implement, and ship production autonomy software in modern C++ on Linux, with Python for tooling, analysis, and machine-learning workflows.
  • Build and integrate capabilities across perception, localization, sensor fusion, navigation, planning, and embedded inference.
  • Take systems from prototype through simulation, software-in-the-loop, hardware-in-the-loop, flight test, and deployment.
  • Analyze logs, simulation results, and test data to debug failures, improve robustness, and drive rapid iteration.
  • Develop evaluation pipelines, metrics, and tooling for accuracy, latency, drift, handoff stability, and mission-level performance.
  • Work with hardware, sensing, flight test, and machine-learning teams to integrate algorithms onto real platforms.
  • Optimize software and models for real-time deployment on embedded compute under tight size, weight, power, and latency constraints.
  • Design systems for degraded operation, fault detection, graceful degradation, and uncertainty-aware decision-making in contested environments.

Desired Qualifications

  • Experience with state estimation, simultaneous localization and mapping (SLAM), visual-inertial odometry (VIO), GNSS/INS fusion, relocalization, or multi-sensor fusion.
  • Experience with perception systems for detection, segmentation, tracking, pose estimation, or classification in challenging real-world conditions.
  • Experience training, fine-tuning, or deploying machine-learning models for autonomy applications.
  • Experience bringing up complex embedded systems across sensors, compute, vehicle interfaces, and autonomy software on embedded Linux or real-time operating system (RTOS) platforms.
  • Experience with motion planning, mission autonomy, or decision-making under uncertainty.
  • Strong engineering judgment across system-level tradeoffs including latency, accuracy, robustness, and operational reliability.
  • High standards for validation through metrics, simulation, logs, and field testing.
  • Experience with simulation, hardware-in-the-loop (HITL), synthetic data, and sensor modeling.
  • Experience in contested or degraded environments, including radio-frequency (RF) denial, GNSS degradation, low-light or night operations, or high-vibration platforms.
  • Strong data and infrastructure practices, including dataset versioning, reproducible pipelines, continuous-integration-based validation, and evaluation tooling.

About the Company

Mach Industries

Develops unmanned military systems and propulsion

Mach Industries designs and builds unmanned military systems, including VTOL drones, long-range strike weapons, and counter-UAS, along with propulsion and energetics. Its products combine flight hardware, power plants, and munitions into compact, military-ready systems, with most components produced in-house to lower costs. The company differentiates itself through vertical integration, a large California manufacturing footprint, and acquisitions (like Exquadrum) to expand solid-rocket-motor capability and reduce bottlenecks. Its goal is to scale manufacturing and accelerate programs to meet defense contracts and national security needs, supported by large funding rounds to grow production and operations.

Company size
201-500
Company stage
Series C
Total funding
$1.1B
Headquarters
Huntington Beach, CA
Founded
2022

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