Localization & SLAM Engineer for Autonomous Systems

Mach Industries; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and sensing may be unavailable. You will design estimation and sensor-fusion algorithms powering robust navigation across product lines, working at the intersection of perception, state estimation, and embedded systems.

You will prototype and productionize vision navigation features and develop SLAM-based estimators on Linux/embedded hardware, with responsibilities spanning calibration, timing, and

Qualifications

• Proficient in modern C++ on Linux with debugging, profiling and testing discipline.
• Experience with SLAM/state estimation, EKF/UKF, factor graphs, or least-squares optimization.
• Vision-based VIO/SLAM experience, camera models, optical flow.
• Sensor fusion: IMU, GNSS/RTK, multi-camera, LiDAR, radar integration.
• 5+ years of research-to-production delivery or equivalent.
• Degree or equivalent in CS/Robotics/EE/Aerospace or related field.

Responsibilities

• Prototype and productionize vision navigation features end-to-end from sim to HITL to flight with production C++.
• Turn detections into measurement models with latencies and covariances; keep estimators reliable.
• Stabilize GNSS to VIO handover to prevent jumps and resets.
• Build and optimize real-time software on Linux/embedded; profile and vectorize code.
• Own calibration and time-sync across sensors; validate in flight.
• Create evaluation pipelines and dashboards for drift, stability, relocalization, and track quality.
• Integrate maps, magnetics, and radar for long-term consistency and loop-closure.

Skills

Modern C++ on Linux

Python tooling

SLAM/state estimation

VIO/SLAM

PyTorch (DL)

CUDA/TensorRT

Education

BS/MS/PhD in CS/Robotics/EE/Aerospace or equivalent

Tools

CUDA

TensorRT

ONNX Runtime

ROS 2

GTSAM

Ceres Solver

Jetson

Job description

Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and sensing may be unavailable. You will design estimation and sensor-fusion algorithms powering robust navigation across product lines, working at the intersection of perception, state estimation, and embedded systems.

You will prototype and productionize vision navigation features and develop SLAM-based estimators on Linux/embedded hardware, with responsibilities spanning calibration, timing, and