Software Engineer, Localization

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 180 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.

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.

• Prototype and product ionize 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/Tensor
  
  RT 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.

• 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.

• BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.

• Experience with CUDA/Tensor
  
  RT/ONNX Runtime; NVIDIA Jetson pipelines.

• Exposure to ROS 2, PX4/Ardu Pilot 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…