Embedded Ai Systems Engineer (C++)

Descrição do cargo

We’re hiring a Lead Embedded Software Engineer to own the brains of a next-gen hardware platform

We’re working with a US-based industrial technology group that builds hardware used in mining, construction and large-scale infrastructure. Their systems operate in some of the harshest environments on the planet and rely on high-precision positioning, real-time data and embedded intelligence to get the job done.

They’re building a specialist hardware and GNSS team in Lisbon. You will be the engineer who defines and evolves the embedded software platform that runs across multiple products.

Technical Skills:

- Linux kernel customization, including configuration, compilation, and optimization.

- Strong experience with Yocto Project for building and maintaining embedded Linux distributions.

- Proficiency in C and C++ for embedded systems development.

- Experience with Android Open Source Project (AOSP), building and customizing AOSP for embedded or mobile platforms. Familiarity with HAL layers, system services, and Android build system.

- Experience integrating image sensors and ISP pipelines using available drivers.

- Experience designing generic, reusable software frameworks for embedded products.

- Familiarity with device drivers, BSPs (Board Support Packages), and hardware bring-up.

- Knowledge of cross-compilation, build systems, and toolchains.

- Hands-on debugging with JTAG, oscilloscopes, logic analyzers, and Linux debug tools (gdb, strace, perf).

- Experience with communication protocols (Ethernet, CAN, UART, SPI, I²C, USB, etc.).

- Understanding of real-time constraints and performance optimization in embedded systems

- Familiarity with cybersecurity considerations in embedded devices.

- Version control (Git), CI/CD, and issue tracking tools (Jira, GitLab CI, Jenkins, etc.).

Domain / Product Knowledge:

- Prior work on embedded networking, GNSS, or RF-based products is a strong plus.

- Understanding of system resource constraints (memory, power, CPU utilization).

- Knowledge of industry standards for ruggedized and field-deployed devices.

Soft Skills & Leadership:

- Ability to define system architecture and influence product design from concept through production.

- Proven experience in cross-functional collaboration with hardware, mechanical, and test teams.

- Strong documentation and code quality practices (unit tests, code reviews, design documents).

- Problem-solving, analytical mindset with proven track record of delivering reliable products.

- Mentoring and technical leadership experience is a strong advantage.

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