DPU Performance Architect, Infrastructure Silicon

Meta's Infrastructure Silicon organization designs custom silicon that powers our data center infrastructure — SmartNICs/IPUs/DPUs, AI accelerators, and networking ASICs. We are seeking an experienced Performance Architect to drive performance modeling, analysis, and validation of our Data Processing Unit (DPU) architectures. In this role you will influence architecture and microarchitecture decisions from early path-finding through RTL validation and silicon correlation.

DPU Performance Architect, Infrastructure Silicon Responsibilities:

• Analyze performance of current and future SmartNIC/IPU/DPU architectures with focus on end-to-end transaction flows, host-to-DPU offloading options, evaluation of SoC architectural options
• Quantify architectural/micro-architectural trade-offs wrt PPA to inform and guide design decisions
• Analyze and characterize DPU workloads to abstract key performance-relevant behaviors and incorporate into representative models and synthetic benchmarks
• Develop and enhance performance models, simulation tools, and methodologies to evaluate future DPU architectures
• Drive RTL performance validation, including development of comprehensive performance test plans, coverage criteria, and correlation of RTL results against architectural models
• Correlate pre-silicon performance projections with post-silicon measurements and drive methodology improvements based on findings
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8 years of relevant industry experience in developing analytical/tool based models and performance analysis with focus on networking and storage architectures
• Detailed understanding of DPU architectures: network virtualization, storage disaggregation, networking and storage protocols such as RoCE, NVMe, fabric architectures
• Experience in workload analysis and characterization, and abstracting key performance features into models for analysis
• Proficiency in languages for model development (e.g. Python, C/C , SystemC)
• Experience with data center workloads and benchmarking methodologies
• Experience with RTL performance validation, including authoring and executing performance test plans and correlating pre-silicon performance models with post-silicon measurements
• Experience driving analysis independently and influencing architectural direction through data
  
  

Preferred Qualifications:

• PhD in Computer Science, Computer Engineering or Electrical Engineering
• 15 years of relevant industry experience in developing analytical/tool based models and performance analysis with focus on networking and storage architectures
• Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows
• Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs
• Experience with post-silicon performance validation and model-to-hardware correlation methodologies
• Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis
• Experience with GPU, machine learning, multi-threaded programming paradigm
• Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization
  
  

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@meta.com.

$178,000/year to $250,000/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.