[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/)

Meta Platforms · Sunnyvale, CA +1 more

# DPU Performance Architect, Infrastructure Silicon

Sunnyvale, CA +1 more IT & Infrastructure 

Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1883085086000017/)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / DPU Performance Architect, Infrastructure Silicon

## Job description

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.

## 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

## 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 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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 7 days
- Location: Sunnyvale, CA +1 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1883085086000017/)

## More jobs at Meta Platforms

### [DPU IO Architect, Infrastructure Silicon](https://jobs.opennash.com/companies/meta-platforms/jobs/58b4a3a548f291c49a96/)

Sunnyvale, CA +1 more

### [DPU Networking Architect, Infrastructure Silicon](https://jobs.opennash.com/companies/meta-platforms/jobs/b98678cd0739ccf6cb94/)

Sunnyvale, CA +1 more

### [DPU Power Architect, Infrastructure Silicon](https://jobs.opennash.com/companies/meta-platforms/jobs/7f4b1facc377ea6aca3a/)

Sunnyvale, CA +1 more

### [DPU RAS and Debug Architect, Infrastructure Silicon](https://jobs.opennash.com/companies/meta-platforms/jobs/5a2f09468abf2c6514b5/)

Sunnyvale, CA +1 more

### [Silicon Validation Engineer, Infrastructure](https://jobs.opennash.com/companies/meta-platforms/jobs/8e33bd0de1693a4b2bf1/)

Sunnyvale, CA +1 more

## Similar jobs at other companies

### [SoC Infrastructure/NoC, Power & Performance Validation Engineer, Staff](https://jobs.opennash.com/companies/qualcomm/jobs/52befc048876f4acf979/)

Qualcomm · Tijuana, Baja California, Mexico

### [Sr Principal Architect- HW Performance](https://jobs.opennash.com/companies/jpmorganchase/jobs/ee76f8fcdf9e05f0701f/)

JPMorganChase · Seattle, WA, United States

### [Principal Performance Architect](https://jobs.opennash.com/companies/microsoft/jobs/c4fed8c0fad2256d9097/)

Microsoft · United States, Oregon, Hillsboro, Washington, Redmond

### [Lead SoC Performance Architect](https://jobs.opennash.com/companies/qualcomm/jobs/ba834bb8c7e0f92045b4/)

Qualcomm · Santa Clara, California, United States of America

### [Principal Architect - Infrastructure/Security](https://jobs.opennash.com/companies/jpmorganchase/jobs/161bb79be1b5d459a6f1/)

JPMorganChase · Plano, TX, United States

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
