About the job
As a Machine Learning IP Validation Engineer at Meta Reality Labs, you will work with an experienced group of researchers and engineers, and use your firmware, system integration, prototyping and hardware validation skills to implement IP validation infrastructure, bring-up IP SW workloads on prototyping and silicon platforms, and contribute to the development and optimization of state of the art machine learning accelerators. You will work closely with ML researchers, architects and designers in creating prototyping and validation requirements and test cases for multiple state of the art IPs.
Responsibilities
Support hardware system validation and performance and power characterization activities for the Electrical Engineering team
Track test progress, document bugs, and fixes and produce regular progress reports
Identify risks and develop mitigation strategies
For new technologies and features, work closely with design engineering on defining performance characterization and validation strategy, as well as detailed test p
Qualifications
Minimum
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of relevant experience in consumer electronics or related fields
Experience creating validation plans for hardware products including developing test methodologies for new features and technologies
Experience in detailed testing of at least one IP subsystem such as machine learning, display, audio, camera/vision, machine learning or wireless
Familiar with testing common SOC HW interfaces such as AXI, APB, AHB, OCP
Experience in troubleshooting with component vendors on test escapes, missing test coverage, etc
Preferred
Demonstrated experience supporting technical teams, cross-functional groups and vendors to execute against validation plans
Demonstrated understanding of consumer electronics product lifecycle, development process and partner eco-system
General understanding of overall hardware system architecture common to consumer electronics products
Experience working as a hardware design or verification engineer
Experience working with embedded C/C++ FW/HW integration
Experience working with embedded systems that run on Android/Linux
Python scripting experience for test automation and data processing/organization
Demonstrated experience driving complex and ambiguous problems to solution
Experience executing validation strategy and coordinating with cross functional teams to come up with detailed test plans for ML subsystems in products under development and work with internal and external test resources on test execution
Experience learning quickly and extend to other areas as needed
Proven communication and collaboration skills and experience communicating and driving issues to resolution across cross functional teams
Experience working with overseas development and manufacturing partners
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies