About the job
About Mach Industries
Established in 2022, Mach Industries stands at the forefront of defense technology, dedicated to the development of next-generation autonomous defense platforms. Our mission focuses on delivering scalable and decentralized defense systems that bolster the strategic capabilities of the United States and its allies. With a dynamic team of approximately 220 employees, we embody the spirit of a startup, combining agility with ambitious goals.
Our vision is to transform the future of warfare through innovative manufacturing, rapid advancements, and a steadfast focus on national security. We are committed to addressing the challenges of modern warfare with effective systems that deter kinetic conflicts and safeguard global security.
The Role
As a part of our team, you will play a crucial role in constructing an AI-driven autonomy stack tailored for contested environments where GPS and other sensing capabilities are unreliable. Your responsibilities will include designing and implementing cutting-edge estimation and sensor-fusion algorithms that ensure robust navigation across our diverse product lines. This role requires collaboration at the intersection of perception, state estimation, and embedded systems to translate research-grade algorithms into rugged, real-world applications.
Key Responsibilities
Develop and productionize vision navigation and targeting features from simulations to hardware-in-the-loop (HITL) and flight scenarios using production C++.
Convert detections (EO/IR/RF/radar) into precise measurement models incorporating latencies and covariances, ensuring the estimator remains decision-aware without compromising state integrity.
Stabilize GNSS to VIO transitions through adaptive covariances, gating, hysteresis, and reset-free alignments to eliminate jumps and unnecessary resets.
Create and optimize real-time software on Linux/embedded systems; conduct CPU/GPU profiling and vectorize performance-critical paths; experience with CUDA/TensorRT on Jetson hardware is a plus.
Oversee calibration and time synchronization across IMU, cameras, radar, LiDAR, and GNSS; validate performance during flight tests.
Establish evaluation pipelines and dashboards for drift, handover stability, relocalization, and track quality metrics.
Implement fault detection mechanisms and ensure graceful degradation under challenging conditions (e.g., low light, vibration, RF denial).
Integrate global aids (maps, magnetics, radar) for enhanced long-term consistency and loop-closure robustness.
