Senior Software Engineer, Platform
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Requirements
• 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 • 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) • Deep knowledge of Ubuntu or Linux systems, including package management, systemd, networking, and kernel configuration • Experience with Nvidia Orin/Jetson platforms • 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
Responsibilities
• 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.
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