Autonomy SLAM & Localization Software Engineer

Mach Industries Inc.; Huntington Beach, Northern (CA, KY); Hybrid; USD 125,000 - 220,000; Full time

Benefits offered by this job

Equity participation

Health insurance

Retirement plans

Paid time off

Professional development

Job summary

Mach Industries is building an AI-forward autonomy stack for contested environments. You will design and implement state estimation and sensor-fusion algorithms across perception, estimation, and embedded systems for robust navigation in real-world deployments.

The role requires 5+ years in robotics or related field, strong SLAM and EKF/UKF expertise, and hands-on production experience on Linux-based platforms. A path from research to flight-tested prototypes is expected.

Qualifications

• BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.
• Proven research-to-production delivery and field testing on real platforms.
• Strong experience with SLAM/state estimation and measurement models.
• Hands-on experience with C++ on Linux and Python tooling.

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

Skills

Modern C++

Linux

Python

Debugging

Profiling

Testing

VIO/SLAM

Camera models

Optical flow

Feature tracking

PyTorch

On-edge deployment

IMU integration

GNSS/RTK

LiDAR/Radar

Magnetometer/Barometer

ROS 2

CUDA/TensorRT

Education

BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field

Tools

CUDA

TensorRT

ONNX Runtime

NVIDIA Jetson pipelines

ROS 2

PX4/ArduPilot integration

Rust

Docker

Job description

Mach Industries is building an AI-forward autonomy stack for contested environments. You will design and implement state estimation and sensor-fusion algorithms across perception, estimation, and embedded systems for robust navigation in real-world deployments.

The role requires 5+ years in robotics or related field, strong SLAM and EKF/UKF expertise, and hands-on production experience on Linux-based platforms. A path from research to flight-tested prototypes is expected.