Embedded Software Test Engineer, Onboard Test Automation (Automotive)

Location: London, United Kingdom; hybrid work with time spent in offices and workshops and time working from home.

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Design, develop, and execute automated tests for onboard software subsystems, including operating systems, middleware, sensors, and integration points.
• Validate software behavior on embedded hardware platforms in hardware-in-the-loop environments.
• Collaborate with software engineers to identify test gaps and expand coverage for new and existing features.
• Debug and triage system-level issues across software and hardware boundaries.
• Contribute to CI pipelines and reusable test frameworks to enable developer self-service testing.
• Move validation tests earlier in the development cycle to support faster iteration and broader coverage.

Requirements

• Experience testing embedded software systems, ideally on Linux or QNX-based platforms.
• Strong programming skills in Python, C++, or similar languages for test development and automation.
• Experience with embedded hardware platforms and understanding of hardware/software interactions.
• Ability to debug and triage complex issues across system layers.
• Understanding of software testing principles, including automation, integration testing, and system validation.

Nice to have

• Experience with hardware-in-the-loop testing environments.
• Familiarity with sensor systems or data pipelines, such as camera or radar systems.
• Experience with CI/CD systems such as Buildkite and test pipeline integration.
• Exposure to robotics, autonomous systems, or real-time software environments.

Culture & Benefits

• Full-time position with hybrid working and core working hours.
• Flexible scheduling within core working hours.
• Inclusive interview process with accommodations available on request.
• Collaborative environment focused on learning, innovation, and improving the safety and quality of automated driving systems.