Senior SOC Engineer, AI & Automation
📌Abu Dhabi, United Arab Emirates 🇦🇪
⏱︎ full-time
🧙♂️ senior
The ideal candidate will collaborate with the Security Operations Center (SOC) Engineering team to enhance cybersecurity capabilities by designing, developing and deploying advanced AI and machine learning solutions. They will help to drive AI initiatives forward and shape the future of AI technologies in the organization.
Key Responsibilities:
- Design, develop, and implement AI-driven automation solutions to optimize business processes.
- Collaborate effectively with cross-disciplinary teams to identify automation opportunities, gather requirements, and integrate AI systems into processes, services, or products.
- Develop, deploy, and monitor machine learning models for cybersecurity.
- Monitor and fine tune AI and automation pipelines for performance, accuracy, and reliability.
- Document AI models and methodologies for knowledge sharing and continuous improvement.
- Stay up to date with the latest AI/ML trends, tools, and regulatory developments.
-
Ensure security, compliance, and responsible use if AI technologies.
- 5+ years of industry experience in AI engineering, machine learning, or related field.
- Technical Skills
- Experience with LLMs, vector databases, AI agentic frameworks, and prompting engineering.
- AI/ML frameworks/Data Science/Machine Leaning/Deep Learning/Statistics/LLMs/ Natural Language Processing
- Programming: Python, Spark, SQL, NoSQL with the capability to write efficient and maintainable code
- Big Data Tools: Apache Hadoop, Apache Spark
- String understanding of data pipelines, REST APIs, and cloud services (Ideally Azure)
- Personal Skills
- Problem-solving and collaborative attitude
- Excellent communication skills
- Desirable Skills
- Cybersecurity domain experience
-
Splunk/Sentinel
- Bachelor’s or master’s degree in AI/ML Engineering, Computer Science, Data science, or similar relevant degree.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ senior
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Skills
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Industry
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