Embedded Software Engineer - Linux

Embedded Software Engineer - Real-Time Linux

LOCATION:

Role Description

We are looking to recruit an exceptional Embedded Software Engineer - Real-Time Linux to help build the foundational real-time Linux platform powering the brains of our autonomous robotics systems. This is a critical role for developing high-performance, GPU-accelerated compute platforms tailored to robotics and machine learning workloads.

In this role you will:

• Design, adapt, and integrate POSIX-compliant systems for advanced robotics and machine learning (ML) applications.
• Develop the framework for integration of controls, machine learning and supporting algorithms with real-time tasks.
• Collaborate with Controls and Machine Learning engineers to develop and optimise high performance autonomous systems.
• Develop and maintain drivers for integration with real-time robotic middleware.
• Build tools to monitor, verify and optimise system performance, ensuring reliable and deterministic behaviour.
• Contribute to a deterministic and reproducible build and test environment for efficient development.
• Work with functional safety engineers to support standards compliance, audit readiness, and traceability.
• Develop robust solutions for over-the-air (OTA) updates, calibration management and software deployment strategies.
• Tackle complex, real-world challenges alongside a multidisciplinary team of experts.

• MS in computer engineering, computer science or a related discipline.
• Production experience with bringup and configuration of Linux  and similar operating systems (e.g. QNX).
• Strong understanding of Linux device trees, scheduling and memory management.
• Experience with multicore ARM SoCs, interprocess/intercore communications and message passing.
• Proficiency in C and C++.
• Experience with ROS 2 middleware and alternatives (Eg. FastDDS, Cyclone
  
  DDS, Zenoh).
• Familiarity with container technologies, container runtimes and related concepts (Eg. Docker, Containerd, Overlayfs).
• Understanding of tool chains (compilers, linkers, debuggers, static analysis tools).
• Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
• Proactive, self-driven mindset with a strong ability to prioritize and deliver in a fast-paced startup environment.

• Familiarity with communication protocols (e.g. Ethernet, Ether
  
  CAT, CAN, CANO
  
  pen).
• Knowledge of ARM SIMD/NEON architecture extensions.
• Proficiency in additional programming languages (e.g. Python, Rust, Golang).
• Expertise with multi-language build systems (e.g. Bazel, Bob).
• Experience with Hypervisors (e.g. QNX Hypervisor, Jailhouse, Xen).
• Understanding of container orchestration systems and tools (Eg. Kubernetes).