Hardware Systems Engineer, NPI AI

Meta is seeking a Systems Engineer to join our Release to Production (RTP) team working on AI/ML initiatives supporting large scale AI Training and Inference. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative 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 validation and hardware debugging, 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.

RTP Engineers 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.

Ramping to production and solving the datacenter scaling and deployment challenges requires us to take a systems based approach to Meta Silicon hyperscalar bring up and validation.Hardware Systems Engineer, NPI AI Responsibilities

• Lead the bring-up, validation, and deployment of cutting-edge hardware systems in lab and datacenter environments.
• Drive and execute end-to-end system validation (hardware and software), with a focus on ASIC productization in datacenter applications.
• Utilize experience in accelerator and network ASIC architecture, AI workloads/ML models to design and implement robust system-level test plans, including functional, stress, and performance tests.
• Develop and execute validation plans aligned with production system use cases, creating and automating corresponding test cases.
• Design experiments and develop tools to detect, diagnose, and monitor system hardware/network/silicon/firmware/software health issues.
• Enhance hardware reliability by creating data visualizations and implementing systemic solutions to address recurring health issues.
• Provide actionable insights from production system performance to inform and refine the architecture and design of next-generation systems.
• Communicate complex technical findings and recommendations to diverse audiences, including technical and non-technical stakeholders at all levels.
• Identify and proactively mitigate potential product risks by leveraging validation results and operational insights.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 6+ years of experience in hands-on SW, FW or HW engineering to build any of the following products (silicon, server, consumer devices).
• Experience in one or more domains such as: ASIC performance characterization, HW+SW integration, firmware validation, system validation.
• Experience in developing test specifications, hands-on system troubleshooting and debugging.
• Experience with one or more of the following modules/domains: PCIe, Serdes, Networking, Flash, Memory, CPU, GPU, DRAM (DDR4/5 or HBM)
• Experience in Python, C/C++ and/or similar languages.

Preferred Qualifications

• Proficiency in High-Performance Computing (HPC) or AI system architecture at rack level and at scale.
• Hands-on experience in software, firmware, and hardware engineering to develop systems/products for datacenter applications such as video processing, AI/ML, and networking.
• Demonstrated optimization of software algorithms for HW performance and scalability.
• Familiarity with lab debugging tools (oscilloscopes, protocol analyzers, and traffic generators) and SoC debugging tools (e.g., JTAG, GDB, Trace32) for testing and debugging.
• Proficiency in Linux environment and server system management to develop automated workflows using continuous integration and version control tools.
• Experience authoring detailed test plans and develop tests for complex chipsets, including functional, stress, and performance testing with focus on automation.
• Experience in developing or debugging AI/HPC systems, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$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.

Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.