System Engineer, AI Accelerator Module Management

Meta; Menlo Park (CA); On-site; USD 173,000 - 245,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Accelerator Reference Design Team is seeking a System Engineer to design, implement, and support hardware management for Meta’s AI accelerators. You will specify requirements for device management, drive integration into fleet management, and shape the ecosystem direction for Meta's AI hardware.

The role requires deep hands-on experience across silicon, hardware, and software, leading design and debugging efforts, and collaborating with cross-functional teams to scale management across

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 8+ years of hands-on experience implementing management solutions for server systems.
• 4+ years designing or specifying custom silicon management.
• Proficiency in C++ and/or Python.

Responsibilities

• Specify, develop, and integrate device management for Meta's AI hardware.
• Collect requirements and develop specs for AI/HPC ASIC management and debug functionality.
• Develop and maintain code, to collect, analyze, and interpret data for accelerator fleet statistics.
• Collaborate with cross-functional teams to develop detailed management specifications for silicon and platforms.
• Develop concepts and proof-of-concept experiments to improve reliability and visibility of AI accelerators.
• Specify and design the module and ASIC management of Meta's custom AI silicon so that it integrates well with data centers and fleet.

Skills

C++

Python

Troubleshooting

Teamwork

Education

Bachelor's degree in Computer Science / Engineering

Job description

The Accelerator Reference Design Team is looking for a System Engineer to design, implement, and support hardware management for custom AI hardware. The ARD team is working on the design and implementation of hardware modules for Meta's custom AI accelerators. Meta is developing large-scale AI/HPC clusters using custom-designed AI accelerators. In this role, you will have a unique opportunity to shape the future AI/HPC of Meta by specifying technical requirements for device management, driving specifications and designs for integrating device management into fleet management, and steering the industry and ecosystem partner direction. The ideal candidate will work in a cross-functional engineering environment, prioritizing competing workstreams based on impact, deadlines, and stakeholder needs. They will have experience in solving complex device management problems in high-performance computing that span across silicon, hardware, and software. They will also have direct experience in hardware design and management of complex ASICs. A successful candidate will have experience working on hardware management across rack, server, and ASIC levels. The candidate will have experience with current industry practices and standards for device management and debug. The position requires a lead developer to architect solutions, debug complex issues, define scope for open-ended technical challenges, and deliver hardware management at scale. The candidate will work closely with cross-functional stakeholders and partners who are on the front-line of developing Meta's custom ASICs for AI.

System Engineer, AI Accelerator Module Management Responsibilities:

• Work as part of the Accelerator Reference Design Team to specify, develop, and integrate device management for Meta's custom AI hardware
• Collect requirements and develop specifications for AI/HPC ASIC management and debug functionality
• Develop and maintain code, to collect, analyze, and interpret data for accelerator fleet statistics
• Collaborate with cross-functional teams to develop detailed management specifications for our silicon and platforms, focusing on AI accelerator ASIC management
• Develop concepts and proof-of-concept experiments to improve reliability and visibility of new and existing AI accelerators
• Specify and Design the module and ASIC management of Meta's custom AI silicon so that it integrates well with the data centers and the fleet

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of hands-on experience in implementing management solutions for computer server systems
• 4+ years of designing or specifying custom silicon management
• Proficiency in C++ and/or Python, or equivalent
• Experience with general understanding of architectural trade-offs in hardware and software across cost, performance, and reliability
• Experience working effectively as an individual and in a multidisciplinary team
• Troubleshooting experience across software, firmware, hardware, and network problems

Preferred Qualifications:

• 6+ years of experience in device management for high-performance custom silicon
• Core domain knowledge in servers and networking with experience in debugging operational problems
• Datacenter level tooling experience for management
• Experience in developing both custom hardware and software for AI/HPC
• Experience with system performance analysis, debug, and optimization practices
• 10+ years of hands-on experience in implementing device management for computer server systems

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affinitive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$173,000/year to $245,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.