Software Engineer, Localization

Posted Yesterday
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2 Locations
In-Office
125K-220K Annually
Senior level
Defense
The Role
Design and productionize vision-based navigation, state-estimation, and sensor-fusion algorithms for embedded/autonomous defense platforms. Implement real-time C++ systems, integrate IMU/cameras/LiDAR/radar/GNSS, stabilize GNSS-VIO handover, optimize CPU/GPU performance, build evaluation pipelines, and validate in-flight with fault detection and graceful degradation.
Summary Generated by Built In
About Mach Industries

Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 220 employees, we operate with startup agility and ambition.

Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.

The Role

Mach Industries is building an AI‑forward autonomy stack for contested environments where GPS and other sensing is unavailable or unreliable. As an member of our team, you will design and implement state-of-the-art estimation and sensor-fusion algorithms that power robust navigation across all of our product lines. You will work at the intersection of perception, state estimation, and embedded systems to bring research-grade algorithms to rugged, real-world deployments.

Key Responsibilities
  • Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++.

  • Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state.

  • Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets.

  • Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware.

  • Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight.

  • Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality

  • Implement fault detection and graceful degradation for harsh conditions (blur, low‑light, vibration, RF denial).

  • Integrate global aids (maps, magnetics, radar) for long‑term consistency and loop‑closure robustness.

Required Qualifications
  • Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, testing discipline.

  • SLAM/state estimation: Error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning.

  • Vision experience VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/seg/pose (PyTorch) and on-edge deployment.

  • Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer.

  • Ship and fly: Proven research-to-production delivery and field testing on real platforms.

  • 5 years of experience with either a BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.

Preferred Qualifications
  • Experience with CUDA/TensorRT/ONNX Runtime; NVIDIA Jetson pipelines.

  • Exposure to ROS 2, PX4/ArduPilot integration

  • Strong data practices: data validation in CI, SQL/Parquet, reproducible datasets.

  • Experience in contested/denied RF, low-light/night, high-vibration environments.

  • Rust for systems tooling; Docker for reproducibility.

Disclosures

This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).  Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development.

Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!

Skills Required

  • Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, and testing discipline
  • SLAM/state estimation: error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning
  • Vision experience: VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/segmentation/pose (PyTorch) and on-edge deployment
  • Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer
  • Proven research-to-production delivery and field testing on real platforms (flight/ship validation)
  • Minimum 5 years of experience with a BS/MS/PhD in CS, Robotics, Electrical/Aerospace Engineering or equivalent practical experience
  • Experience with CUDA/TensorRT/ONNX Runtime and NVIDIA Jetson pipelines
  • Exposure to ROS 2 and PX4/ArduPilot integration
  • Strong data practices: data validation in CI, SQL/Parquet, reproducible datasets
  • Experience in contested/denied RF, low-light/night, high-vibration environments
  • Rust for systems tooling; Docker for reproducibility
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The Company
HQ: Austin, TX
36 Employees
Year Founded: 2022

What We Do

Mach Industries is a defense manufacturing company that deploys advanced aircraft to greatly increase military capability. Headquartered in Huntington Beach, California and backed by leading venture firms such as Sequoia Capital and Bedrock Capital, Mach Industries is an engineering-obsessed team pursuing focused product bets to create value for the defense customer. They are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. Mach Industries is committed to vertically integrated manufacturing that ensures supply chain resiliency and accelerates the pace of defense innovation.

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