Job Information
Meta Hardware Systems Engineer, NPI AI in Menlo Park, California
Summary:
Hardware Systems Engineers in RTP work closely with Hardware/Software 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 the new product introduction (NPI) phase.
Required Skills:
Hardware Systems Engineer, NPI AI Responsibilities:
Drive and execute end-to-end system validation strategy (hardware and software), with a focus on various AI/HPC hardware systems in datacenter applications
Lead the bring-up, validation, and deployment of cutting-edge hardware systems in large scale deployment with active hands-on participations
Explore new use cases with customer teams and identify related test methodologies/test cases accordingly
Investigate and troubleshoot complex failures potentially related to Hardware systems with cross-function teams, which may involve different stacks like silicon, firmware, software, etc
Triage failures and continue rootcausing while driving project development work forward
Identify gaps and opportunities to improve test process and test methodologies across the NPI space
Guide automation efforts and data analysis for NPI projects through engagement with related cross-function teams
Communicate project progress and assessments to related internal and external teams
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in hands-on SW, FW or HW engineering to build any of the following products (AI Silicon, GPUs, TPUs, Autonomous cars, AI servers)
Experience in one or more domains such as: ASIC development (Silicon design, bringup, characterization, validation), board level debug, firmware validation, system validation
Experience with leading Silicon or System troubleshooting and debugging
Experience in developing test specifications, procedures, and debug guides for test solutions
Preferred Qualifications:
Preferred Qualifications:
Proficiency in High-Performance Computing (HPC) or AI system architecture at rack level and at scale
5+ years of experience with one or more of the following modules/domains: PCIe, NVlink, Networking, Flash, Memory, CPU, GPU, TPU, DRAM (DDR4/5 or HBM), AI silicon/AI accelerators
Hands-on experience in software, firmware, and hardware engineering to develop systems/products for datacenter applications such as video processing, AI/ML, and networking
Experience with definition of HW/SW interface requirements for Telemetry, Diagnostics, Debugging
Proficiency in Linux environment and server system management
Experience with debugging tools for SoCs (e.g., JTAG, GDB, Trace32) and knowledge of common bus protocols such as I2C, SPI, USB, and PCIe
Experience in using continuous integration and version control tools for system development and testing
Experience integrating lab tools for automated workflows and managing large-scale deployments
Public Compensation:
$173,000/year to $245,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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@meta.com.