This position is for a AI Engineer who is well versed with Compiler skills and strong back end development knowledge in C++. The engineer will get to lead in building AI compilers and low level AI device handling solutions for IBM Z systems.
Your Role And Responsibilities
- Lead Development and deployment of AI Compilers at system level, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency.
- Direct the implementation and optimization of AI Device specific compiler technology, personally driving solutions for complex problems.
- Collaborate closely with cross-functional teams hands-on approach to ensure seamless integration and efficiency.
- Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation.
- Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes.
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Uphold industry best practices and standards in AI engineering , maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle.
Master's Degree
Required Technical And Professional Expertise
- AI compiler development Leadership:
- Deep experience in demonstrating coding skills, teaming capabilities, and end-to-end understanding of Enterprise AI product.
- Deep background in machine learning, deep learning.
- Hands-on expertise with MLIR and other AI compilers like XLA, TVM, etc.
- Deep understanding of AI accelerators like GPU, TPU, Gaudi, Habana, etc.
- Expertise with product design, design principles and integration with various other enterprise products.
- Traditional AI Methodologies Mastery:
- Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks.
- Familiarity with model serving platforms such as Triton inference server, TGIS and vLLM, with a track record of leading teams in effectively deploying models in production environments.
- Proficient in developing optimal data pipeline architectures for AI applications, taking ownership of designing scalable and efficient solutions.
- Development Ownership:
- Proficient in backend C/C++, with hands-on experience integrating AI technology into full-stack projects.
- Demonstrated understanding of the integration of AI tech into complex full-stack applications.
- Strong skills in programing with Python
- Strong system programming skills
- Problem-Solving and Optimization Skills:
- Demonstrated strength in problem-solving and analytical skills, with a track record of optimizing AI algorithms for performance and scalability.
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Leadership in driving continuous improvement initiatives, enhancing the efficiency and effectiveness of AI solutions.
- Knowledge in AI/ML and Data Science:
- Over 13 years of demonstrated leadership in AI/ML and Data Science, driving the development and deployment of AI models in production environments with a focus on scalability, reliability, and efficiency.
- Ownership mentality, ensuring tasks are driven to completion with precision and attention to detail.
- Compiler design skills:
- Proficiency in LLVM
- Base compiler design concepts
- Commitment to Continuous Learning and Contribution:
- Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies.
- Proven ability to contribute actively to the development and improvement of AI frameworks and libraries.
- Effective Communication and Collaboration:
- Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
- Excellence in interpersonal skills, fostering collaboration and teamwork across diverse teams to drive projects to successful completion.
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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