Software Engineer, Platform
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Solid value score due to the essential role in platform stability and performance within an innovative tech domain.
- Strategic role in managing autonomous vehicle platforms
- Remote work flexibility across major European cities
- Solid technical and performance expectations
- A strong background in ROS and Linux required
Pros
- Work on critical platform issues for advanced autonomous systems
- Opportunity to integrate closely with engineering teams for innovation
- Remote work options across multiple European locations
Cons
- Technical role with high performance and stability expectations
- Requires specific technical expertise and experience
- Fast-paced but potentially stressful startup environment
Who it's for
Mid-Level Engineer • Remote
Good fit
- Mid-level engineers seeking impactful roles
- Professionals experienced in embedded systems or robotics
- Workers motivated by technological innovation
Not recommended for
- Entry-level candidates without necessary expertise
- Individuals who prefer less technical engagement
- Those uncomfortable in a fast-paced startup context
Motivation fit
Key skills
About the job
Location
Remote, Atlanta, Frankfurt, Amsterdam, Berlin , Dublin, Italy , Munich, Paris , Poland, United Kingdom (Remote), Stockholm
Employment Type
Full time
Location Type
Remote
Department
Engineering
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
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.
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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
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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
