We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
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The Person
You have strong technical and analytical skills in C/C++/Python AI development in Windows and Linux environment with some knowledge on GPU programming and compiler. You are a capable problem solver and also a technical leader to define goals and scope and drive development effort. You possess good communication skills and are enthusiastic about AI technologies and strongly motivated to enable our customers with the best feature-rich efficient solutions.
The Role
We are looking for an experienced Machine Learning Software Engineer who will be part of the AMD GPU Technology and Engineering Software Team developing our latest AI software technologies. You will engage with cross-functional teams to optimize various parts of the AI software stack and deliver AI solutions across AMD Radeon and Ryzen product families.
Key Responsibilities
- Develop and deliver innovative AI software solutions to AMD customers and users.
- Enable and optimize software stack for standard frameworks like ONNX and PyTorch, as well as new popular Open-Source AI software.
- Bring up new SOTA AI models, analyze and improve their performance.
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Participate and drive end-2-end AI software development from feature scoping, implementation, integration and verification, to customer enablement.
- Strong cross-platform software development experience and deep programming skills in C/C++ and Python.
- Excellent problem-solving and effective communication skills.
- Development experience on CONV, GEMM, and/or non-linear operators; GPU acceleration experience with compiler and low-level GPU programming is a plus.
- Experience with common AI frameworks and inference stacks.
- Solid knowledge of AI and ML concepts and techniques; understanding the performance implications on AI acceleration of different compute, memory, and communication configurations.
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Open-source software development experience is a plus.
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Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
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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