Job Description
Software Engineer - Networking Protocols
Join our team to develop next-generation networking protocols. If you enjoy solving complex technical puzzles and want to improve network performance and scalability, this is the right role for you.
What You’ll Bring:
Core CS: Strong grasp of Data Structures and Algorithms.
Networking: Academic foundation in TCP/IP, routing, and switching. Experience with network simulation tools (e.g., Cisco Packet Tracer, GNS3) or Wireshark is preferred.
Technical Skills: Proficiency in C or C++ with experience in multi-threading and socket programming.
Security: Understanding of modern security frameworks, including firewalls, Zero Trust architecture, and encryption protocols (e.g., TLS).
AI Tooling: Ability to use AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate development and automate testing.
Software Engineer - Application Development
Join our team to build scalable, high-impact cloud applications. If you are interested in modern software development and creating intuitive user experiences, we want to hear from you.
What You’ll Bring:
Core CS: Strong grasp of computer science principles and development frameworks.
Languages: Proficiency in at least one major language (Java, Python, Go, or React).
Web Fundamentals: Understanding of HTTP, RESTful APIs, and database concepts (SQL/NoSQL).
System Design: Ability to think critically about application scalability and cloud environments (AWS, Azure, or GCP).
AI Tooling: Ability to use AI coding assistants to troubleshoot, optimize, and accelerate development.
Software Engineer - Embedded and System Development
Join our team to work on low-level programming and embedded systems. If you are interested in building high-performance systems where software meets hardware, this is the right role for you.
What You’ll Bring:
Core CS: Strong grasp of computer architecture and digital design principles.
Programming: Proficiency in C/C++ and Python, with an interest in memory management and resource-constrained environments.
OS Internals: Understanding of processes, threads, memory management, and user/kernel space separation.
Hardware: Exposure to microcontrollers, RTOS, device drivers, or hardware-software interfacing.
AI Tooling: Ability to use AI coding assistants to optimize system logic and generate reliable code.
Key Responsibilities
Common AI Proficiency requirements (all profiles)
Candidates must demonstrate a forward-thinking approach to AI-integrated engineering:
AI-Assisted Development & SDLC: Active use of AI tools (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate coding, automate testing, and improve code quality, while maintaining human-in-the-loop accountability and process transparency
AI Agents & Advanced Workflows: Experience or strong interest in moving beyond basic prompting to autonomous systems, including task decomposition, agentic development, and exposure to frameworks like LangChain, LangGraph and the Model Context Protocol (MCP)
LLM Fundamentals & Architecture: A solid conceptual understanding of Generative AI, including token usage, context windows, RAG (Retrieval-Augmented Generation), vector databases, and the basics of production engineering (guardrails, monitoring and scaling)
Qualifications
Master’s degree in Computer Science/Electronics (0 years of experience).