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Mach Industries Logo Mach Industries · IT - Software Development

Software Engineer, Localization

United States, Huntington Beach, San Francisco 190000.00 - 230000.00 USD / Year · Job Posted February 18, 2026
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Job 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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

What we offer

  • Offers Equity
  • healthcare, dental and vision plans
  • retirement savings
  • paid time off
  • funds for continuing education, training, and career growth
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