C++ Embedded Systems Engineer

• Execute software bring-up on customer hardware platforms (e.g., automotive-grade SoCs and ADAS compute platforms).
• Port and configure Linux-based systems, real-time operating systems, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification and Release teams to integrate hardware into CI/CD pipelines, Hardware-in-the-Loop (HIL), and test infrastructure.
• Work with OEM and Tier 1 partners to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configurations.
• Develop automation for hardware setup, flashing, health checks, and test execution on target platforms.

• 5+ years of experience in embedded or automotive software development, with hands-on platform bring-up experience.
• Strong proficiency in C++, Bash, and Python.
• Proven experience working with and modifying middleware (e.g., DDS-based systems) and communication protocols such as gRPC or similar.
• Deep understanding of Linux-based embedded systems (e.g., Yocto, systemd, bootloaders, device trees).
• Familiarity with real-time operating systems and Adaptive AUTOSAR environments, including configuration and debugging on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin-class, Qualcomm Ride-class, Renesas, TI, or similar platforms).
• Comfortable using hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols such as CAN, Ethernet, PCIe, SPI, and I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desired Experience

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in safety-critical domains, with knowledge of ISO 26262, boot-time determinism, and watchdog mechanisms.
• Understanding of secure boot, OTA updates, and system-level cybersecurity principles.
• Familiarity with containerisation, CI tooling, version control systems, and artifact management platforms.

Fast-growing technology company is focused on developing next-generation autonomous driving systems powered by advanced machine learning and embodied AI. Their approach centres on building end-to-end software that enables vehicles to learn from real-world data, allowing for scalable, adaptive, and safe autonomy without relying on traditional rule-based systems. Operating at the intersection of robotics, AI, and automotive engineering, they collaborate with global partners to deploy their technology across diverse environments and markets.