Build the AI layer for aviation.
We're a small, deep team in Vancouver flying our own hardware in the airspace we engineer for. We hire for ownership, technical depth, and shipping real systems against real constraints.
Real flights, real constraints.
Every system is tested on aircraft, in airspace, against weather. Engineers fly with the team, your code lands when the wheels do.
Own from spec to flight line.
Small team, full stack. You own systems end-to-end: design, integration, certification edge cases, deployment. No throw-it-over-the-wall.
Wildfire first. SAR, ISR, infrastructure next.
We start where the need is most acute. The same payload and platform serve every mission set after wildfire: agriculture, maritime, sovereignty.
Where we're hiring.
AI & Machine Learning Computer Vision Engineer
Remote (Canada) · Full-time · Posted Apr 12, 2026 View role
Computer Vision Engineer
Build and ship the perception models that run onboard our aircraft (detection, segmentation, depth, tracking) across thermal, RGB, and multi-spectral inputs, optimized for Jetson edge deployment.
- Train and ship object-detection, segmentation, depth, and tracking models for aerial and oblique imagery.
- Own the training pipeline end to end: dataset curation, augmentation, distributed training, eval, and OTA deployment via VoxNet.
- Optimize inference for Jetson Orin (TensorRT, ONNX, INT8/FP16) under tight latency budgets.
- Work directly with mission partners on real flight data: wildfire imagery, search & rescue scenes, ISR contexts.
- 2+ years shipping computer vision or deep-learning models in production.
- Strong PyTorch (or equivalent) and a good intuition for what to do when a model regresses on real data.
- Comfort with geospatial data. GeoTIFF, COG, STAC, georeferencing, projections.
- Solid Python and Linux fundamentals.
- Thermal / IR perception experience.
- Distributed training (DDP, FSDP) on multi-GPU clusters.
- Published research at CVPR / ICCV / ECCV / NeurIPS or open-source contributions to perception stacks.
Hardware & Firmware Embedded Systems Engineer
Vancouver, BC · Full-time · Posted Apr 1, 2026 View role
Embedded Systems Engineer
Own the firmware that runs Voxelis sensor payloads in flight: dual-NVIDIA Jetson compute, multi-sensor fusion, real-time pipelines, and device drivers across the EO/IR gimbal, laser rangefinders, and machine-vision array.
- Design and ship embedded firmware for the VoxVision payload. The system runs across an Orin AGX and an Orin Nano with strict thermal and power budgets.
- Integrate and validate sensor drivers (gimbal, lasers, cameras, IMU, environmental sensors) and the timing infrastructure that fuses them.
- Optimize for latency and power: detection, georeferencing, and broadcast pipelines all run in flight on edge compute.
- Build the diagnostic and OTA-update toolchain that keeps a deployed fleet healthy.
- 3+ years writing production embedded C/C++ for resource-constrained Linux systems.
- Hands-on experience with NVIDIA Jetson platforms (Orin family ideal).
- Comfort across the kernel/userspace boundary: device drivers, I²C / SPI / MIPI CSI, RTOS or PREEMPT_RT.
- Strong debugging instincts. JTAG, GDB, kernel traces, oscilloscope when it counts.
- Aerospace or avionics experience. DO-178C, DO-254, or military airworthiness.
- Sensor fusion (Kalman / factor-graph) shipped in production.
- GPGPU optimization on Jetson (CUDA, TensorRT, cuDNN).
We hire for what you've shipped.
If you've shipped real systems, want to fly them, and care about the mission: send us what you've built. We read everything.