Description
Join Cisco's Industrial IoT engineering team to build software for industrial switching, routing, wireless, security, observability, and edge computing.
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.
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.