Software Engineer
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Before you apply
LocationBangalore, India
Work modehybrid
Typefull-time
SeniorityEntry
Experience1–3 yrs
DepartmentIndustrial IoT Engineering
Company size10,000+ people
PostedOct 27, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Computer Engineering, AI/ML, or a related field
1–3 years of relevant experience
Strong Python skills
Proficiency in another language such as C, C++, Go, or Java
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
Experience using AI coding agents such as Codex, Cursor, Claude Code, or equivalent tools
Familiarity with Networking domain such as TCP/IP or Security protocols experience
Experience in development and validation of peripheral interfaces (e.g. PCI, PCIe, I2C, SPI, UART, GPIO, Ethernet)
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
Open-source AI contributions, research, hackathons, or independently developed applications
Skills
Python
C
C++
Go
Java
PyTorch
TensorFlow
Hugging Face
Codex
Cursor
Claude Code
RAG
MCP
LangGraph
A2A
TensorFlow Lite
llama.cpp
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.
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
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be in direct response to an application you have submitted through the company career site
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begin with screening or an interview
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originate from a Cisco email address, and
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be conducted across email, phone, or WebEx
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