Meet the Team Join Cisco’s Industrial IoT engineering team to build software for industrial switching, routing, wireless, security, observability, and edge computing. Our products help customers across manufacturing, energy, transportation, and smart cities to securely connect critical infrastructure, gain real-time operational visibility, and build resilient networks. You’ll collaborate with engineers across networking, cybersecurity, embedded systems, AI-powered network operations, industrial threat detection, agentic systems, and Small Language Models (SLMs) at the edge, with opportunities to experiment and solve complex engineering problems. We are looking for AI-native software engineers with strong foundations in Artificial Intelligence, Machine Learning, Deep Learning, and Agentic Systems who can turn these capabilities into working software. Your Impact Contribute to AI-powered applications for industrial networking, security, observability, and edge computing. Build AI applications and agents: Develop and evaluate industrial applications and agentic workflows using LLMs, SLMs, machine learning, computer vision, RAG, MCP, and tool calling. Apply AI to industrial networking and security: Develop capabilities for smarter network operations, troubleshooting, observability, anomaly detection, and threat detection. Develop Edge AI: Fine-tune, optimise, and deploy ML models and SLMs on edge platforms, balancing model quality, memory, compute, and latency for reliable on-device inference. Practice AI-first product development: Use coding agents and agentic workflows across design, implementation, debugging, testing, and review. Collaborate with domain and AI engineers to deliver reliable software, validating correctness, performance, and security. Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, AI/ML, or a related field, with 1–3 years of relevant experience. Strong Python skills and proficiency in another language such as C, C++, Go, or Java, with a sound foundation in data structures, algorithms, software design, and debugging. Hands-on AI/ML or LLM/agent application development using tools such as PyTorch, TensorFlow, or Hugging Face, including model integration and evaluation. Experience using AI coding agents such as Codex, Cursor, Claude Code, or equivalent tools, with the judgment to validate generated code. Familiarity with Networking domain such as TCP/IP or Security protocols experience or Experience in development and validation of peripheral interfaces (e.g. PCI, PCIe, I2C, SPI, UART, GPIO, Ethernet) is a plus. Preferred Qualifications ML/DL and LLM foundations, with exposure to SLM adaptation (fine-tuning, LoRA/PEFT, distillation, quantization) and on-device inference using TensorFlow Lite or llama.cpp under resource constraints. Experience with RAG, MCP, or agent orchestration frameworks such as LangGraph; familiarity with A2A is a plus. Open-source AI contributions, research, hackathons, or independently developed applications. Who You Are You are deeply interested in bringing AI into real products, particularly at the edge, and using it to make networks smarter, safer, and easier to operate. You enjoy experimenting with models and agents, building working software, and evaluating results. You approach engineering with an AI-native mindset, use coding agents and automation thoughtfully, and take responsibility for correctness, security, and quality. You are curious about industrial systems and eager to learn the networking and platform context your work requires. 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. Disclaimer To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will: be in direct response to an application you have submitted through the company career site begin with screening or an interview originate from a Cisco email address, and be conducted across email, phone, or WebEx Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.

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