DPU Networking Architect, Infrastructure Silicon

Summary:

Meta's Infrastructure Silicon organization designs custom silicon that powers our data center infrastructure — SmartNICs/IPUs/DPUs, AI accelerators, and networking ASICs. We are looking for a Data Processing Unit (DPU) Network Architect to own how our DPUs handle networking: packet processing and offloads, network virtualization and overlays, RDMA and storage transports, and inline security. You'll decide how the networking datapath is built and where each function belongs - in hardware, in firmware, or in host software - define how software programs it, and carry those decisions from early path-finding through implementation and silicon bring-up. You'll work hand in hand with the firmware, driver, and RTL teams, backing your calls with performance and PPA analysis where deeper study is needed.

Required Skills:

DPU Networking Architect, Infrastructure Silicon Responsibilities:

1. Architect the Networking datapath for our DPUs - packet processing and offloads, Network virtualization and overlays, RDMA and storage transports, and inline security - from early path-finding through silicon bring-up

2. Decide what runs in the datapath engines, what runs in firmware, and what stays in host software, and design the interfaces between them

3. Define how software programs and controls the datapath - match-action tables, rule and flow programming, register and descriptor interfaces, and the offload interfaces firmware and drivers build on

4. Work closely with firmware, driver, and software teams so the datapath and its interfaces are clean, efficient, and genuinely usable, and evolve them as needs change

5. Work closely with design, DV, and PD teams on feature definition and PPA tradeoff

6. refine architecture to meet the design and PD constraints. Define architecture to maximize DV complexity including defining specific features to help ease DV

7. Weigh the performance, power, and area trade-offs behind your choices and back them with data, partnering with performance modeling where deeper analysis is needed

8. Support Design, DV and PD to resolve interface and integration issues as they come up. Support post-silicon bring-up of the Networking functionality

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 8+ years of relevant industry experience architecting Networking datapaths and packet-processing pipelines and their hardware/software interfaces for NIC/DPU or comparable ASICs

3. Experience with SmartNIC/IPU/DPU architectures and their usages: Network virtualization, storage disaggregation, overlay networking, virtual switch, firewall/ACLs, and PSP gateways, including offload mechanisms

4. Experience with datacenter Networking technologies and protocols such as Ethernet, IPv6, TCP/UDP, Geneve, PSP, and SRv6, including offload mechanisms for TCP segmentation, reassembly, checksum, and receive-side scaling

5. Experience with RDMA and storage protocols and fabrics, including RoCEv2 and NVMe/NVMe-over-Fabric (TCP and RDMA)

6. Experience with congestion control (e.g., DCQCN) and emerging transports such as UET and comparable next-generation RDMA transports

7. Experience with on-chip scheduling and arbitration architectures and quality-of-service mechanisms -- transaction/packet schedulers, arbiters, traffic shapers, and rate limiters (meters/policers, token buckets) -- and their impact on latency, fairness, bandwidth partitioning, and throughput

8. Experience with datacenter network topologies and fabric architectures (e.g., Clos/fat-tree, rail-optimized fabrics) and their performance implications, including oversubscription, ECMP/load balancing, and end-to-end latency and congestion behavior

9. Experience with symmetric and asymmetric cryptography concepts and inline data encryption (e.g., IPSec, PSP)

10. Experience with domain-specific dataplane languages such as P4

11. Experience with data center workloads and their networking characteristics

12. Experience with analytical performance-modeling methods (e.g., queueing theory, Little's Law, bandwidth-delay/outstanding-transaction sizing)

13. Experience driving analysis independently and influencing architectural direction through data

Preferred Qualifications:

Preferred Qualifications:

1. PhD in Computer Science, Computer Engineering or Electrical Engineering

2. 15+ years of relevant industry experience architecting networking datapaths and packet-processing pipelines and their hardware/software interfaces for NIC/DPU or comparable ASICs

3. Experience designing high-performance offload architectures for NVMe-over-Fabric

4. Experience designing data-plane offload/acceleration architectures using programmable processors/engines (programmable parsers, match-action, etc.)

5. Experience designing high-performance inline data encryption engines, such as for IPSec and PSP

6. Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows

7. Experience with GPU, machine learning, multi-threaded programming paradigm

8. Experience with emerging RDMA transports such as UET and comparable next-generation RDMA protocols

9. Experience with post-silicon performance validation and model-to-hardware correlation methodologies

10. Experience with performance modeling and workload characterization for networking architectures, including analytical methods (e.g., queueing theory, Little's Law) and frameworks such as SystemC

11. Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization

12. Experience designing scheduling, arbitration, or rate-limiting/traffic-management hardware (e.g., hierarchical schedulers, WRR/DWRR/strict-priority arbiters, shapers/policers)

13. Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis

Public Compensation:

$178,000/year to $250,000/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 [email protected].