Software Engineer, DPU Networking stack

Responsibilities

• Design and implement DPU-based packet-processing pipelines for security, host networking, and network services.
• Work with DPU SDKs, P4 or programmable pipeline models, and vendor-specific offload capabilities.
• Build capabilities for firewall policy enforcement, ACLs, packet classification, metering, telemetry, tunneling, routing, NAT, and load-balancing primitives.
• Develop software across DPU firmware/SDK interfaces, host drivers, Arm-side services, and user-space control components.
• Create portable abstractions across heterogeneous DPU and SmartNIC architectures while preserving platform-specific performance advantages.
• Debug complex issues across host, DPU, SDK, firmware, driver, kernel, and user-space boundaries.
• Validate throughput, latency, scale, offload correctness, failure behavior, and operational visibility.
• Own well-scoped features from design through implementation, testing, performance validation, documentation, and rollout.
• Contribute to design reviews, code reviews, threat modeling, production readiness, and mentoring of other engineers.

Requirements

• Bachelor's degree with 7+ years of related experience, Master's with 4+ years, or PhD with 1+ year.
• Proficient systems programming experience in C/C++, Go, Rust, Python, or similar languages.
• Experience building production networking, packet-processing, security, infrastructure, or systems software.
• Practical knowledge of Linux networking and debugging complex Linux-based systems.
• Ability to independently own medium-sized technical features from design through delivery.
• Hands-on experience with DPU, SmartNIC, FPGA, ASIC, NPU, or hardware-offloaded networking platforms.
• Experience with NVIDIA BlueField SDKs, AMD Pensando SDKs, P4, programmable packet pipelines, or equivalent data-plane programming models.
• Familiarity with DPDK, OVS, TC flower, eBPF/XDP, SR-IOV, VF/PF, kernel bypass, hardware offload, or packet-processing acceleration.
• Experience with firewall, ACL, segmentation, host networking, tunneling, NAT, VTEP, load balancing, or service chaining.
• Experience profiling and optimizing packet-processing systems for throughput, latency, scale, and reliability
• Why Cisco?
• We are Cisco, and our power starts with you.
• Message to applicants applying to work in the U.S. and/or Canada:
• The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
• Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualificatio

Benefits

Additional Information

The application window is expected to close on: 07/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position located in Milpitas, CA. Ideally 3 days per week in office. Meet the Team Cisco is building a next-generation DPU-enabled networking platform for secure, high-performance infrastructure and large-scale AI clusters. Our team is responsible for designing the foundational networking, security, and programmable services that span host systems, DPUs, SmartNICs, and cloud-scale control planes. We work at the intersection of systems software, hardware acceleration, distributed security, and AI infrastructure, creating platforms that deliver line-rate performance, strong isolation, operational reliability, and simplified deployment across modern data center environments. We are looking for a senior software engineer to develop programmable packet processing pipelines and DPU SDK integrations across modern SmartNIC/DPU platforms, including NVIDIA BlueField, AMD Pensando, and similar architectures .This role focuses on the lower layers of the DPU networking stack: P4 or P4-like pipeline development, vendor SDKs, packet classification, policy enforcement, host networking offload, telemetry, and performance validation. The ideal candidate has strong systems programming skills, deep networking fundamentals, and hands-on experience building or integrating hardware-accelerated data paths.

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