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# Software Engineer, Localization

- **Company:** Mach, Inc
- **Location:** Huntington Beach, CA, United States
- **Experience:** Expert
- **Salary:** $125,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Data Validation, Data Governance, Software Debugging, Linux, Fault Tolerance, Global Positioning Systems (GPS), Python (Programming Language), Real-Time Operating Systems, SQL Databases, Parquet, Pytorch, Evaluation Pipelines, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT, NVIDIA Jetson, C++14, Lidar, GNSS, Docker
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/c011f206-bb1d-4ced-9ad3-8f711a5bf9ab

## About the Role

* 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.

## Description

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.