Hardware Systems Engineer, AI Systems

Meta is seeking a Hardware Systems Engineer to join our Release to Production (RTP) team working on new NPI hardware. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our cutting-edge services. The RTP team is responsible for the end-to-end Hardware Lifecycle of all Meta servers including prototyping of experimental HW, pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues. RTP team also helps in exploring, developing and productizing high-performance software and hardware technologies for AI at datacenter scale.Hardware Systems Engineer in RTP work closely with HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers. We also work across service and hardware architectures for new AI systems, build prototypes to demonstrate the value, enable go/no-go decisions and optimize these systems in production.

Hardware Systems Engineer, AI Systems Responsibilities:

• Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to guide and develop Hardware Fault Management for various server products
• Drive new platform enablement for the Meta fleet (hardware validation, tooling specification and integration, customer workload testing)
• Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues
• Leverage demonstrated understanding RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanism for better operation quality and cost/efficiency
• Drive engineering and operational rigor by establishing metrics and process for regular assessment and improvement
• Enhance understanding through data visualization and implement systemic solutions to hardware health issues
• Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6 years of work experience in one or more domains such as: ASIC development (Silicon design or bring-up or characterization), compute (ARM, x86), AI-ML hardware/software (GPUs, TPUs), Storage (SSD/HDD), Memory (DRAM), Network (NIC), Server Interconnect Technologies-PCIe etc
• Knowledge of architecture and components on one of the following products: server/PC/Laptop
• Development or debug experience in one or more following areas: hardware fault management, error reporting, error handling on hardware products
  
  

Preferred Qualifications:

• New Product Introduction (NPI) experience for at scale deployment
• 7 years of experience with one subset of the following AI systems: Accelerator (GPU/ASIC), Performance characterization/optimization/tracing/debugging (e.g., NVIDIA, AMD, Intel, or other miscellaneous accelerator), Computer Architecture, HPC Communication Libraries (e.g., NCCL, MPI), GPU Interconnect Technologies (NVLink/XGMI etc)
• Experience troubleshooting problems at system level, crossing across multiple components, as well as hardware/firmware/software boundaries
• Experience with architecture of disaggregated systems at scale
  
  

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 Affirmative 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 accommodations-ext@fb.com.

$132,000/year to $191,000/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.