Job Description

You'll join our existing AI engineer to divide and conquer the vision AI work as the company scales — the perception layer that turns multi-spectral camera feeds into reliable detection, tracking, and decision support for operators in the field.

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Experience

3–7 years in computer vision, deep learning, or perception systems.
Strong with PyTorch (or equivalent), classical CV (OpenCV), and edge model deployment (TensorRT, ONNX Runtime, or equivalent).
Hands-on production experience with object detection and multi-target tracking.
Image fusion, sensor calibration, or multi-sensor work is a plus. ‍

What You'll Do

Build and ship production-grade vision models across our FX-Ground camera line: object detection, multi-target tracking, EO + thermal image fusion.
Own a slice of the perception roadmap end-to-end — training and evaluation through edge deployment on Jetson Orin hardware.
Drive OpenCV-based tooling: ISP support, day–night fusion, sensor calibration. Classical CV that complements modern deep learning.
Pick up cross-modal and RF fusion work as our radar partnership matures.
Use our internal simulation pipeline (FX-Sim) as a first-class part of the model-development loop — close the synthetic-to-real gap.
Partner with our FPGA / image-acceleration work on hardware-accelerated pipelines, and with the operator-experience team on inference deployment paths.
Get into the field — debug models against real captures and drive the data flywheel that makes every deployment better than the last. ‍

Backgrounds That Fit

Mid-level perception engineer from defence, robotics, autonomous driving, or surveillance industry
Research-engineer profile from a strong CV lab (IIT / IIIT / equivalent)
ML engineer with strong classical CV foundations alongside modern deep learning ‍

Email us with aCV and a short note on what you'd want to build at FieldX.

Use the subject line: Application for AI Engineer: Vision Models & Fusion