AeroVect provides autonomous driving platforms that automate baggage and cargo handling on airport aprons to improve safety and throughput. The company combines embodied AI with lidar, radar, cameras and precise positioning systems to interpret airfield markings and navigate active airside environments. AeroVect builds datasets from airports worldwide and trains models that run on integrated hardware and software stacks with operational safety controls. Its product is positioned as a B2B airport logistics automation solution for airlines, ground handlers and airports, designed for deployment in live airport operations.
AeroVect provides autonomous driving platforms that automate baggage and cargo handling on airport aprons to improve safety and throughput. The company combines embodied AI with lidar, radar, cameras and precise positioning systems to interpret airfield markings and navigate active airside environments. AeroVect builds datasets from airports worldwide and trains models that run on integrated hardware and software stacks with operational safety controls. Its product is positioned as a B2B airport logistics automation solution for airlines, ground handlers and airports, designed for deployment in live airport operations.
Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
As a Platform Engineer at AeroVect, you will own the reliability, performance, and scalability of the software foundation that powers our autonomous ground vehicle fleet. You will be responsible for managing and optimizing our Ubuntu‑based operating system images, middleware, and device drivers that interface with a diverse multi‑sensor ROS 2 stack. Your work enables our perception and autonomy teams to iterate rapidly and deliver safe, production‑ready capabilities to customers worldwide.
You Will
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Design, build, and maintain custom Ubuntu/Linux distributions tailored for real‑time, safety‑critical autonomous vehicle workloads.
Optimize and tune ROS 2 DDS middleware (e.g., Cyclone DDS, Fast DDS) for low‑latency, high‑throughput multi‑sensor data flows.
Develop, integrate, and maintain kernel modules and user‑space drivers for LiDARs, cameras, radars, GNSS/INS, CAN, and other vehicle interfaces.
Maintain and expand the network interfaces of the system.
Implement observability and logging solutions to monitor system health, performance, and resource utilization in both lab and field deployments.
Collaborate with autonomy, perception, and controls engineers to profile CPU/GPU usage and remove bottlenecks across the stack.
Harden the platform for production by applying security patches, enforcing secure boot, and implementing over‑the‑air (OTA) update pipelines.
Own CI/CD pipelines for OS images and driver packages; automate build, test, and deployment processes.
Provide on‑call support for platform components during field trials and customer pilots.
Contribute to technical documentation and best‑practice guidelines for internal and external developers.
You Have
3+ years of experience developing or maintaining Linux‑based embedded or robotics platforms
Proficiency in C++ and Python
Hands‑on experience with ROS 1 or ROS 2 in a production or research setting
Knowledge of DDS internals and QoS tuning for deterministic data delivery
Strong grasp of real‑time performance tuning, profiling tools (perf, eBPF, tracing), and resource‑constrained optimization
Experience with Git, Docker/OCI containers
We Prefer
Prior work on autonomous vehicles, drones, or other safety‑critical robotic systems
Experience with ptp4l configurations in complex systems
Familiarity with common communication buses and protocols (USB, Ethernet, CAN, PCIe, SPI, I2C)
Experience with v4l2/gstreamer
Deep knowledge of Ubuntu or Linux systems, including package management, systemd, networking, and kernel configuration
Experience with Nvidia Orin/Jetson platforms
Experience with Yocto
Experience customizing the Linux kernel for PREEMPT_RT or other real‑time patches
Familiarity with GPU acceleration frameworks (CUDA, Vulkan) and heterogeneous compute scheduling
Experience integrating functional safety libraries and tools (e.g., MISRA, ISO 26262 compliance workflow)
Experience writing or debugging kernel modules and user‑space drivers
Comfort working in a fast‑paced startup environment and supporting field deployments at airports or other industrial sites
