Lead Edge Architect in the perception and edge function, covering the on-machine compute platform for data collection and autonomy. You will own the architecture of the edge compute platform on the machines, from the NVIDIA Thor-class module and its I/O up through the Linux BSP, drivers and middleware, to the services that perception, data collection and autonomy run on. The platform is being redesigned as the fleet grows to 500+ machines and beyond. It handles multiple cameras, LiDARs, radars, GNSS and IMUs at terabyte scale per machine, in dusty, high-vibration conditions. This is a hands-on edge computing role: it needs direct experience with NVIDIA edge hardware and its software stack, not general cloud or IoT architecture.Responsibilities:

Responsibilities:

- Define the edge hardware architecture around NVIDIA Thor-class modules (Jetson AGX Thor and IGX Thor): sensor I/O, camera and network interfaces, storage, power and enclosure.
- Own the low-level software stack: NVIDIA Linux BSP, kernel and drivers, device tree, boot and over-the-air updates.
- Design the middleware layer on ROS 2 (Jazzy) and NVIDIA Isaac ROS, including the migration to ROS 2.
- Set up precise time sync across all sensors (GNSS/UTC, PPS, PTP) and high-throughput logging that doesn't drop data.
- Give perception, data reduction and autonomy services a common driver and service layer, so sensors can be added or removed without redesign.
- Make the platform run onboard GPU inference (detection, segmentation, fusion) and event-triggered capture within compute and thermal limits.
- Build in fleet operations: remote enable and disable, health and diagnostics reporting, and secure, encrypted data handling.
- Decide with the robotics team whether data logging and autonomy compute share hardware or stay separate

Requirements for the candidate:

- 8+ years in embedded or edge systems for robotics, autonomous vehicles or industrial machines.
- Direct, hands-on experience with NVIDIA Jetson or IGX platforms, ideally the Thor generation.
- Hardware design and I/O integration: camera interfaces (GMSL, MIPI CSI), automotive Ethernet, CAN, and storage throughput.
- Linux BSP, kernel and NVIDIA driver development and customization (JetPack, L4T).
- The NVIDIA software ecosystem: CUDA, TensorRT, DeepStream and Isaac ROS.
- ROS 2 at production quality: nodes, DDS tuning, rosbag2 or MCAP logging, and performance under high sensor load.
- Time sync and multi-sensor integration for cameras, LiDAR, radar and GNSS/IMU.

Nice-to-have:

- Ruggedized deployments: off-road, construction, mining or agriculture machines.
- Sensor calibration and online monitoring of calibration health.
- Edge data reduction, compression and encryption for large sensor fleets.
- Fleet device management, OTA and remote diagnostics at hundreds to thousands of units.
- Safety-related embedded development (ISO 26262 or ISO 13849).

Skills: NVIDIA Jetson / IGX (Thor), JetPack / L4T, Linux BSP and kernel drivers, CUDA, TensorRT, DeepStream, Isaac ROS, ROS 2 (Jazzy), DDS, GMSL / MIPI CSI, CAN, PTP / PPS time sync, C++.


Proactive Global is committed to equality in the workplace and is an equal opportunity employer.
Proactive Global is acting as an Employment Business in relation to this vacancy.

COMPETITIVE SALARY
Added 05/11/2026
Reference: 179886_1793898600

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