Full-Time

Principal Software Engineer

Multiple Teams

Updated on 9/7/2026

Cisco

Cisco

10,001+ employees

Networking hardware, security software, collaboration services

No salary listed

Bengaluru, Karnataka, India

In Person

Bachelor's, Master's, PhD

Category
Software Engineering
Required Skills
MLOps
Machine Learning
AWS

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Requirements
  • A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
  • Typically 12+ years of software engineering experience, including architecture and technical leadership across multiple teams.
  • Direct experience with Cloud Access Security Broker, Application Visibility and Control, Security Service Edge/Secure Access Service Edge, Secure Web Gateway, Data Loss Prevention, malware protection, or SaaS tenant security.
  • Experience building application-discovery, traffic-classification, application-intelligence, or high-volume telemetry systems.
  • Demonstrated experience designing and operating large-scale, cloud-native distributed systems.
  • Experience architecting or integrating artificial intelligence or machine-learning capabilities into production products or engineering workflows.
  • A strong background in cloud-delivered web, SaaS, network, or data security, with understanding of policy enforcement and data protection.
  • Proven ability to remain hands-on while influencing senior stakeholders, guiding complex designs, and mentoring experienced engineers.
Responsibilities
  • Define the architecture and roadmap for application discovery, granular application controls, SaaS tenant controls, and offline or API-based Data Loss Prevention and malware scanning of SaaS content.
  • Lead the broader use of artificial intelligence in the product, including AI-powered security capabilities, controls for generative AI applications, and responsible use of AI across the product development lifecycle.
  • Own the technical strategy for the internal CASI application-intelligence platform, including data quality, confidence scoring, human validation, model monitoring, update speed, and scaling with traffic and application growth.
  • Lead the AI-assisted transformation of application discovery and classification.
  • Guide critical feature designs and establish foundations for security, privacy, performance, scalability, resilience, observability, quality, troubleshooting, and cost efficiency.
  • Translate customer needs, emerging threats, and product priorities into scalable capabilities in partnership with product management, security research, architects, and engineering teams.
  • Provide cross-team technical leadership and mentorship, resolve complex architectural issues, and raise engineering standards without becoming a design-review bottleneck.
Desired Qualifications
  • A master's degree or PhD in Computer Science, Cybersecurity, Machine Learning, or a related field.
  • Experience with AI-based classification, human-in-the-loop workflows, model evaluation, monitoring, and MLOps.
  • Experience architecting global, multi-tenant services on Amazon Web Services and resolving complex production or customer issues.

Cisco designs and sells networking hardware, software, and services that help organizations connect, protect, and manage data. Its products include networking gear, security solutions, cloud services, and collaboration tools like Webex to support hybrid work. Cisco differentiates itself with a broad, integrated stack—routing and switching, security, cloud, and collaboration—that works together at scale. Its goal is to help customers securely connect people, devices, and applications, enabling reliable communication and digital transformation across enterprises of all sizes.

Company Size

10,001+

Company Stage

IPO

Headquarters

San Jose, California

Founded

1984

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Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal 2026 AI infrastructure orders reached $9.3 billion, with $4 billion in Q4.
  • Cisco guided fiscal 2027 revenue to $72.2–$73.4 billion and AI revenue to $7.5 billion.
  • AMD, Cisco, and HUMAIN launched Saudi AI infrastructure, targeting 1 gigawatt by 2030.

What critics are saying

  • June 2026 Cisco SD-WAN zero-days exposed root access, proving its attack surface stays exploitable.
  • May 2026 layoffs cut nearly 4,000 jobs, signaling restructuring pain and execution strain.
  • Arista and Nvidia commoditize Cisco’s AI networking, leaving it a low-margin box supplier.

What makes Cisco unique

  • Cisco’s Silicon One and NX-OS/Sonic stack anchor its NCP-compliant Secure AI Factory.
  • August 25, 2026 Supermicro deal adds rack-to-fabric liquid cooling across networking and compute.
  • Cisco still sells the control plane enterprises trust for security, observability, and hybrid operations.

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Benefits

Paid Vacation

Hybrid Work Options

Flexible Work Hours

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Sep 2nd, 2026
Cisco quietly powers AI infrastructure with $9.3B in hyperscale orders and 21x forward P/E

Cisco has secured $9.3 billion in hyperscale AI orders for fiscal year 2026, positioning itself as a key player in AI infrastructure. The company's fourth-quarter networking product orders grew 40%, marking the eighth consecutive quarter of double-digit growth. Revenue reached $17.3 billion in Q4, up 17.6%, whilst non-GAAP earnings per share of $1.22 beat estimates by 4.4%. Management projects AI infrastructure revenue of $7.5 billion in fiscal 2027. CEO Chuck Robbins cited "accelerating adoption of agentic AI" as driving a networking super cycle. Four major hyperscalers increased AI infrastructure orders in Q4. Cisco trades at a 21x forward price-to-earnings ratio, significantly below competitor Arista Networks' 70x trailing P/E. However, non-GAAP gross margin fell to 66.3% from 68.4% year-over-year due to product mix shifts towards high-volume AI hardware.

Yahoo Finance
Sep 1st, 2026
AMD partners with Cisco on AI infrastructure platform in Saudi Arabia

AMD announced a partnership with Cisco and Saudi Arabia's HUMAIN to launch an AI infrastructure platform in the kingdom. The collaboration combines AMD's Instinct MI355X GPUs and EPYC CPUs with Cisco's Silicon One networking architecture to deliver GPU-as-a-Service infrastructure. The platform will begin with 250 megawatts of AI deployment starting in 2027, scaling to 1 gigawatt by the decade's end. This gives AMD access to sovereign AI spending outside North America. AMD's data centre sales grew 107% in Q2. The company's stock is currently trading at more than twice its price from the start of this year. The partnership positions AMD to compete with Nvidia in regional cloud computing whilst diversifying revenue streams beyond US cloud providers.

Yahoo Finance
Aug 27th, 2026
Cisco expands Nvidia AI partnership with liquid cooling as adoption set to hit 60% by 2027

Cisco has expanded its AI infrastructure partnership with Nvidia, incorporating liquid cooling technology into its Secure AI Factory. The move, in collaboration with Super Micro Computer, includes high-density liquid- and air-cooled GPU systems supporting Nvidia's next-generation Vera Rubin NVL72 and HGX Rubin NVL8 platforms. The shift reflects broader industry trends. Market research firm TrendForce forecasts liquid cooling penetration among AI chips will rise from 33% in 2025 to 53% in 2026, reaching 60% in 2027. The rapid adoption stems from increasingly power-hungry processors from Nvidia, AMD, and Google, whose thermal requirements exceed traditional air-cooling capabilities. Cisco emphasised that power and cooling now dictate where AI infrastructure can be built, with heat management emerging as a critical engineering challenge.

Yahoo Finance
Aug 25th, 2026
Cisco adds Supermicro AI servers to Nvidia partnership as stock surges 45%

Cisco is partnering with Supermicro to add high-powered AI servers to its Nvidia-backed infrastructure offering. The systems will support Nvidia's next-generation platforms and are expected to become available in October. Cisco will sell the compute alongside its networking, security and observability products as a pre-validated system designed to make massive GPU clusters easier to deploy. The expansion pushes Cisco deeper into the AI infrastructure market. "Think about us as being the critical infrastructure for the AI era," Cisco President and Chief Product Officer Jeetu Patel said. The company is betting that as long as demand for AI infrastructure continues, it can supply equipment regardless of where AI ultimately runs. Cisco's stock is up nearly 45% year-to-date, as investors increasingly view the company as a beneficiary of the physical AI buildout.

PR Newswire
Aug 25th, 2026
Cisco partners with Supermicro to expand NVIDIA-powered AI infrastructure for neocloud deployments

Cisco has expanded its Secure AI Factory architecture through a partnership with Supermicro, adding rack-scale AI computing solutions to its portfolio. The collaboration delivers end-to-end infrastructure for massive AI workloads, from trillion-parameter training models to edge inferencing. The full-stack architecture addresses growing neocloud and sovereign cloud demand with an NVIDIA Cloud Partner-compliant solution featuring Cisco AI networking systems. Customers gain access to Supermicro's liquid- and air-cooled systems, enabling easier management of high-density AI clusters alongside non-AI workloads. The expanded offering includes rack-to-fabric liquid cooling with Cisco liquid-cooled AI networking systems and Supermicro's liquid-cooled servers. Cisco is the only NVIDIA technology partner using its own networking switches and operating system in an NCP-compliant solution. Cisco will begin offering Supermicro compute solutions as part of the Secure AI Factory with NVIDIA in October 2026.