Senior Software Engineering Manager - DPU & AI Cloud Infrastructure

$210K - $350K Milpitas, CA, US Senior AI Software Engineer

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Skills & Technologies

KubernetesPython

About This Role

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The application window is expected to close on: 08/31/2026Job 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 next\-generation infrastructure software for enterprise AI factories, neocloud providers, sovereign cloud environments, and modern data center fabrics. These platforms must turn complex GPU, server, network, security, and DPU\-enabled infrastructure into secure, multi\-tenant AI infrastructure services that are simple to deploy, operate, observe, and scale.

We are seeking a hands\-on Senior Software Engineering Manager to lead a team working at the intersection of systems software, Linux networking, DPU and SmartNIC acceleration, distributed security, infrastructure orchestration, observability, and production operations.

You will stay close to architecture, prototypes, technical risk retirement, design reviews, debugging, and quality decisions while hiring, coaching, and growing a strong engineering team. You should be comfortable moving between strategy and code\-level detail, between customer outcomes and low\-level systems behavior, and between innovation exploration and disciplined production execution.

Your Impact

  • Shape the architecture and engineering direction for AI cloud infrastructure and DPU\-enabled networking capabilities
  • Lead a team responsible for core infrastructure software that makes high\-performance AI cloud environments deployable, secure, observable, and supportable
  • Participate directly in architecture reviews, design deep dives, prototype reviews, code reviews, debugging, and technical decision\-making
  • Drive platform capabilities across infrastructure lifecycle, host networking, tenant isolation, policy enforcement, service integration, health, telemetry, and operational workflows
  • Evaluate emerging technologies, retire high\-risk assumptions early, and guide pragmatic paths from prototype to production
  • Make strong technical tradeoffs across performance, reliability, security, portability, cost, debuggability, and operational simplicity
  • Build repeatable engineering practices for validation, automation, rollout, diagnostics, upgrade safety, and production readiness
  • Build a climate of innovation where engineers simplify complex systems, question inherited assumptions, and turn hard infrastructure problems into reusable platform capabilities
  • Hire, lead, mentor, and retain a high\-performing team of technical leads, senior software engineers, and systems engineers
  • Partner across engineering, product, hardware, firmware, security, operations, and customer\-facing teams to deliver coherent platform outcomes

Minimum Qualifications

  • Bachelor's degree \+ 15 , or Master's \+ 12 years of related experience with C/C\+\+, Python, Go
  • 5\+ years of supervisory or management experience leading software engineering teams with consistent record delivering complex production software across multiple teams, functions, or product areas
  • Experience running engineering teams in networking, systems software, distributed systems, security platforms, infrastructure software, or hardware\-accelerated platforms
  • Strong technical credibility, including the ability to participate in architecture, design, debugging, and implementation tradeoffs
  • Experience leading ambiguous early\-stage technical efforts from exploration through production readiness
  • Deep understanding of Linux systems, host networking, packet processing, routing, policy enforcement, virtualization, containers, and production debugging
  • Experience with distributed control planes, configuration systems, lifecycle management, and recovery behavior
  • Familiarity with DPU, SmartNIC, NIC offload, NPU, ASIC, or hardware\-accelerated networking architectures
  • Experience with CI/CD, test automation, observability, performance analysis, health checks, upgrade safety, rollback strategy, and production support
  • Strong understanding of secure development practices and security architecture for distributed infrastructure systems

Preferred Qualifications

  • Experience with DPU or SmartNIC platforms, programmable packet processing, kernel bypass, hardware offload, or high\-performance networking
  • Experience with packet\-processing and networking technologies such as VPP, DPDK, OVS, eBPF/XDP, tc, SR\-IOV, VF/PF, P4 or P4\-like pipelines, Kubernetes networking, CNI, routing, or virtual networking
  • Experience designing or working with network abstraction interfaces, hardware abstraction layers, SAI\-like APIs, SDK abstraction layers, or portable control\-plane/data\-plane interfaces
  • Experience building or operating host networking platforms, cloud networking services, network security systems, SDN platforms, service meshes, or infrastructure orchestration platforms
  • Understanding of AI/HPC cluster networking behavior, including RDMA/RoCE, congestion management, telemetry, failure diagnosis, and performance isolation
  • Experience leading teams where the work required prototyping, technical discovery, architecture choices, and production delivery
  • Automation or AI\-assisted tooling to improve engineering velocity, quality, debugging, and operational readiness

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

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 $210,600\.00 to $305,100\.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, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long\-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non\-exempt employees
  • 1 paid day off for employee’s birthday, paid year\-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  • Non\-exempt employees\*\* receive 16 days of paid vacation time per full calendar year, accrued at rate of 4\.92 hours per pay period for full\-time employees
  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer

For non\-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance\-based incentive pay on top of their base salary, which is split between quota and non\-quota components, subject to the applicable Cisco plan. For quota\-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  • 1\.5% of incentive target for each 1% of attainment between 50% and 75%;
  • 1% of incentive target for each 1% of attainment between 75% and 100%; and
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non\-quota\-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$210,600\.00 \- $350,800\.00

Non\-Metro New York state\& Washington state:

$189,300\.00 \- $312,200\.00

  • For quota\-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

\*\* Employees in Illinois, whether exempt or non\-exempt, will participate in a unique time off program to meet local requirements.

Salary Context

This $210K-$350K range is above the 75th percentile for AI Software Engineer roles in our dataset (median: $183K across 194 roles with salary data).

Role Details

Company Cisco
Title Senior Software Engineering Manager - DPU & AI Cloud Infrastructure
Location Milpitas, CA, US
Category AI Software Engineer
Experience Senior
Salary $210K - $350K
Remote No

About This Role

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.

Across the 3,708 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Cisco, this role fits into their broader AI and engineering organization.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What the Work Looks Like

A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

Skills Required

Kubernetes (12% of roles) Python (51% of roles)

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Compensation Benchmarks

AI Software Engineer roles pay a median of $219,250 based on 424 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($280K) sits 28% above the category median. Disclosed range: $210K to $350K.

Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.

Cisco AI Hiring

Cisco has 11 open AI roles right now. They're hiring across AI Software Engineer, Research Engineer, AI/ML Engineer. Positions span Research Triangle Park, NC, US, Milpitas, CA, US, San Francisco, CA, US. Compensation range: $200K - $505K.

Location Context

Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Hiring Overview

The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.

The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

The AI Job Market Today

The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 424 roles with disclosed compensation, the median salary for AI Software Engineer positions is $219,250. Actual compensation varies by seniority, location, and company stage.
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
About 14% of the 3,708 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Cisco is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Software Engineer positions include Staff Engineer, AI Architect, Engineering Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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