This is a hands-on technical leadership role that requires expertise in embedded systems, hardware/software integration, and test automation at scale. You will work closely with HW, firmware, software, testing and platform teams across us to ensure test coverage, platform integration reliability, and production readiness.
Key job responsibilities:
Define and execute the system-level test and validation strategy for the Nitro K2 card across hardware, firmware, software and platform layers.
Lead the design and development of automated test frameworks to support scalable validation and continuous integration.
Collaborate with hardware, firmware, software, and platform teams to define validation coverage, interfaces, and testability hooks.
Own root cause analysis and debug strategy for complex, cross-subsystem integration issues originating from the production fleet.
Lead and execute hands-on system testing, and participate in the release decision process for production deployment.
Mentor and guide automation engineers, promoting a culture of system-level testing and continuous quality improvement.
BASIC QUALIFICATIONS:
– Bachelors degree in Computer Science, Electrical Engineering, Practical Engineer with strong industry experience.
– 7+ years of experience in system validation, hardware/software integration, or embedded systems testing.
– Strong hands-on experience with Python and Bash (6+ years), including developing automated test solutions.
– Demonstrated experience in test plan definition , design and test automation development.
– Experience in leading or mentoring a team of automation/test engineers.
– Solid understanding of Linux systems, including system-level debugging and scripting.
– Experience in embedded software testing, particularly across HW/SW boundaries.
PREFERRED QUALIFICATIONS:
– Experience working with Linux kernel, device drivers, or low-level platform bring-up.
– Background in PCIe architecture, HW interfaces (e.g. GPIO, I2C, SPI) , storage, networking, and cloud server platforms solutions.
– Familiarity with pytest or other Python-based automation/test frameworks.
– Experience with CI/CD tools and processes (e.g., Jenkins, or similar).
– Exposure to AWS services (e.g., CloudWatch, Lambda, S3, EC2, EBS, ENA) in the context of test automation and infrastructure.
