Aliensense is the physical AI company. We build a modular compute and sensor platform that gives robots the perception, reasoning, and real-time control they need to operate in the physical world. Our hardware stacks NVIDIA tech with custom GMSL camera modules, CAN-FD buses, and a dedicated AI accelerator tier. We are based in Masdar City and backed by deep-tech investors across the GCC and Europe.

We are hiring an Embedded Software Engineer to own the AI inference layer on our robotic modular platform. You will integrate AI-accelerators (and optionally Jetson's DLA/GPU) into our perception stack, taking trained models from ML engineers and making them run fast, deterministically, and with bounded latency on our embedded platform.

This is a hands-on, end-to-end role: from flashing firmware and writing low-level runtime code to profiling inference on real hardware and handing off tested pipelines to robotics engineers.

- Own the model deployment pipeline: ONNX / TFLite / PyTorch export → Accelerator SDK / Palette compiler → runtime integration on robotic platform
- Write and maintain C/C++ inference wrappers and camera-to-accelerator data paths with deterministic latency budgets
- Profile and optimise models for the MLSoC AI-accelerator: layer fusion, quantization (INT8/FP16), memory layout, bandwidth bottlenecks
- Integrate accelerator outputs (detection, depth, segmentation, SLAM features) into our ROS 2 perception stack
- Collaborate with the firmware team to ensure camera triggers, GMSL frame timestamps, and inference timestamps are tightly correlated
- Maintain the inference runtime as a versioned, reproducible component of platform's software stack

- 3+ years of embedded or edge ML engineering experience
- Hands-on experience deploying models to a dedicated AI accelerator (SiMa.ai, Hailo, Coral, Kneron, Horizon, or similar MLSoC — not just GPU/CPU)
- Strong C/C++ (modern C++17/20); Python for tooling and model export
- Understanding of quantisation-aware training, post-training quantisation, and the performance trade-offs
- Familiar with ONNX, TFLite, or equivalent model interchange formats
- Experience reading and interpreting profiler output (bandwidth, compute, memory) on constrained hardware

- Familiarity with NVIDIA Jetson (DLA, CUDA, TensorRT, Deepstream)
- GStreamer / V4L2 camera pipeline experience
- ROS 2 node development
- Background in SLAM, visual odometry, or 3D perception

- Hands-on work with cutting-edge edge AI silicon
- End-to-end ownership — from silicon bringup to live robotics demos
- Small, senior team with no bureaucracy
- Competitive compensation
- Masdar City HQ — the UAE's deep-tech hub

careers@aliensense.com · Subject: `AI Accelerators Engineer`

Aliensense is the physical AI company. We build a modular compute and sensor platform that gives robots the perception, reasoning, and real-time control they need to operate in the physical world. Our hardware stacks NVIDIA tech with custom GMSL camera modules, CAN-FD buses, and a dedicated AI accelerator tier. We are based in Masdar City and backed by deep-tech investors across the GCC and Europe.

We are hiring an Embedded Software Engineer with a computer vision focus to own the camera and perception pipeline on our platform: from raw GMSL frames off the MAX96792A deserialiser all the way to calibrated, synchronised stereo streams powering Isaac ROS Visual SLAM.

You will work across the full stack: camera bring-up, ISP tuning, multi-camera synchronisation, stereo rectification, and integration with our ROS 2 perception nodes. You will ship code that runs in real time on real robots.

- Bring up and maintain GMSL2/3 camera pipelines on Jetson Orin NX/Nano (MAX96792A deserialiser, FRAMOS FSM sensors, MIPI CSI-2)
- Develop and tune GStreamer / Argus / V4L2 pipelines for multi-camera capture with hardware-synchronised triggers
- Implement and maintain stereo camera calibration (intrinsics, distortion, stereo extrinsics) and live rectification
- Integrate camera streams with IMU data for time-consistent, timestamp-accurate sensor fusion inputs
- Deploy and tune Isaac ROS Visual SLAM on stereo + IMU inputs; optimise for stable continuous operation
- Profile and resolve latency, jitter, and throughput issues across the camera → deserialiser → CSI → ISP → ROS pipeline
- Contribute to the sensor configuration system

- 3+ years of computer vision or embedded vision engineering
- Strong C++ ; comfortable with Python for calibration tooling and scripting
- Experience with GStreamer, V4L2, or NVIDIA Argus/libargus for camera pipelines
- Working knowledge of camera calibration (OpenCV, ROS `camera_calibration`, or equivalent)
- Stereo vision fundamentals: epipolar geometry, rectification, disparity
- Experience with ROS 2 (publishers, synchronisation, TF, launch files)

- GMSL / FPD-Link / MIPI CSI-2 camera bring-up experience
- NVIDIA Jetson Orin platform knowledge (JetPack, BSP, JTOP)
- Isaac ROS or Jetson-specific perception accelerators (VPI, cuVSLAM)
- IMU driver integration and IMU-camera time synchronisation
- Familiarity with SLAM or visual odometry systems (ORB-SLAM, VINS, OpenVINS, cuVSLAM)
- Hardware-level camera synchronisation (PWM trigger, PPS, GMSL GPIO)

- Own the perception stack of a real physical-AI product from day one
- Work with GMSL systems, Jetson Orin, and Isaac ROS on actual robots
- Close collaboration with HW, firmware, and AI teams
- Competitive compensation
- Masdar City HQ, UAE

careers@aliensense.com · Subject: `CV Engineer`