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We’re seeking an Embedded Systems Integration Engineer to build the backend infrastructure that validates the interaction between our hardware, firmware, and software. You will be the connective tissue across disciplines: owning how changes to firmware or software are tested against real hardware. Your work ensures we ship reliable, integrated systems that just work. This is a hands-on role where you will design and implement automated test frameworks, bring-up flows, and validation pipelines for embedded subsystems. You'll be responsible for catching regressions early, enabling fast iteration, and giving clear system-level pass/fail signals across the stack.
Job Responsibility:
Architect test infrastructure that exercises end-to-end functionality of embedded systems across hardware, firmware, and software boundaries
Develop backend systems (Python, CLI tools, internal APIs) to run tests, log results, and determine pass/fail conditions
Bring up and validate subsystem and system level changes, tracking changes in behavior and performance across releases
Automate testing pipelines for regression detection and continuous integration
Debug and triage failures across layers—hardware faults, firmware bugs, or software integration issues
Collaborate with firmware, software, and hardware teams to define interface contracts and testable behaviors
Instrument devices under test using scopes, logic analyzers, and custom harnesses to characterize system response
Requirements:
Bachelor’s in EE, CE, CS, or a related field
3+ years of experience working with embedded systems
Strong understanding of how firmware interacts with hardware peripherals (I2C, Ethernet, SPI, CAN, UART, ADCs, GPIO, etc.)
Proficiency in Python or similar scripting language for test automation
Experience bringing up custom embedded boards and working across firmware/software stacks
Familiarity with Linux-based development environments
Nice to have:
Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, TeamCity)
Knowledge of test automation frameworks (e.g., PyTest, Robot Framework)
Exposure to hardware-in-the-loop (HIL) systems
Familiarity with board-level validation, power-on sequencing, or sensor verification
Prior experience in robotics, automotive, aerospace, or other complex embedded systems
Comfort working hands-on at the bench with test equipment
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