ML Accelerator IP Validation Engineer – On-Device AI

Meta; Sunnyvale, Redmond, Austin (CA, WA, TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Meta Reality Labs is seeking a Machine Learning IP Validation Engineer to join the silicon validation team. You will develop IP validation infrastructure and bring up, validate, and optimize ML workloads across pre-silicon and post-silicon platforms.

Work closely with RTL design, verification, emulation, architecture, ML compiler, firmware/runtime, and ML model teams to define validation requirements and debug cross-layer issues while driving them to resolution.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience creating validation plans for hardware products and test methodologies for new features.
• Experience with HW-SW integration and validation of ML accelerators or related programmable compute IP.
• Familiar with testing SOC HW interfaces such as AXI, APB, AHB, OCP.
• Experience troubleshooting with vendors on test escapes and coverage.

Responsibilities

• Develop IP validation infrastructure and bring up, validate, and optimize ML workloads across pre-silicon and post-silicon platforms.
• Improve functionality, performance, power, and robustness of state-of-the-art ML accelerators.
• Partner cross-functionally with RTL design, verification, emulation, architecture, ML compiler, firmware/runtime, and ML model teams to define validation requirements.
• Define validation requirements, debug cross-layer issues, and drive them to resolution.
• Collaborate with overseas development and manufacturing partners.

Skills

HW-SW integration

ML accelerators

Test automation

Debugging skills

AXI/APB/AHB/OCP

Cross-functional collaboration

RTOS/Android/Linux

Power optimization

Vendor coordination

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Meta Reality Labs is seeking a Machine Learning IP Validation Engineer to join the silicon validation team. You will develop IP validation infrastructure and bring up, validate, and optimize ML workloads across pre-silicon and post-silicon platforms.

Work closely with RTL design, verification, emulation, architecture, ML compiler, firmware/runtime, and ML model teams to define validation requirements and debug cross-layer issues while driving them to resolution.